AI News Digest 2026-11-04
特集
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開発者コーナー
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AIツール紹介コーナー
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速報コーナー
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参考記事一覧を表示
- Google will let schools skip AI tools, but they have to give up search, too
- Anthropic clamps down on Claude’s AI video game clones
- Netflix will show you themed recommendations through a new ‘AI Discover’ tab
- GPT-6 Astra Edits Qwen Weights: MATH-500 7.9% to 48.1%
- OpenAI is finally merging ChatGPT’s Chat and Work tabs
- Goldman Sachs、Claude CodeやGitHub Copilotなどの利用をエンジニア1.2万人に限定 トレーダーやバンカーへの開放を見直し
- Elon Musk throttles Grok Bot limits due to ‘unsustainably high’ costs
- xAI installs eight converted jet engines to power Mississippi data center
- Judge Allows xAI Air Pollution Lawsuit to Proceed - Environmental Protection Online
- DeepSeek Boosts AI Agent Offering With New Creator Mode - Bloomberg.com
- DeepSeek V5 is planned to be pre-trained on Huawei Ascend chips.
- LifeVal
- Anthropic、Messages APIに「message threads」を公開ベータで追加 2回目以降は新しいメッセージと前回のレスポンスIDだけ送信
- Rewarding defenders with bigger bug bounties
- Scaling Git at OpenAI
- v2.1.317
- Apple、第4四半期として過去最高の増収増益 ターナスCEO初の決算「Siri AIはずっと望んでいたSiri」
- 渦中のGMO記者会見、責任の所在はどこに？ 熊谷代表が語った“グループ内の力関係”
- Postman silently auto-installs AI plugins and attempts to share all API data
- Qwen 3.8 27B on my laptop can interpret model weights, too
- Jailbreaking my car's navigation system just so I can change the time
- Mac at Any Scale
- Stringman, an $800 open-source room scale gripper robot
- OpenAI seems to be silently re-enabling model training on Codex chats
- Ashby (YC W19) Is Hiring EMs
- USDB: Scaling Storage for Next-Generation Recommender Systems at ByteDance
- Writing seen in PHerc. 306B, for the first time in 2000 years
- Gitbook Breached
- Bear turns 10, and it still feels like day one
- Could a modern chess engine on a Pentium have defeated Kasparov in 1996?
- Study estimates 75% of NFL players who died over 15-year span had CTE
- Antimony: CAD Software Evolved from Lisp Machines and Not Drafting Tables
- Tiny Basic for Arduino
- Queen of the Bagel Business
- How to write comparison content that doesn't age like milk
- Show HN: HackerChurn – which SaaS tools HN wants to cancel
- Handles are the better pointers (2018)
- Practice speaking Japanese with real YouTube videos, graded line by line
- I use AI (Oct 2026)
- Katamari Damacy but it's The Met collection
- Why Don't We Live in an Art Nouveau World?
- Exploring the Legacy of Image Club Graphics
- Accelerating engineering for the physical world
- Heimstaden is changing residential real estate management with AI
- Introducing the Grid Protectors Program
- OpenAI appoints Dan Driscoll as Senior Counselor for National Security Modernization
- Qodo builds context into AI code review with Codex
- The latest AI news we announced in October 2026
- Agentic cheminformatics with Google Antigravity
- Learn the rules: The hacker mindset
- StateBench: Testing how language models track state changes over long documents
- Palette: teaching a small model to build decks in your design language
- CWE-bench v2: More coverage, quality, and transparency
- Transformers Model Integration Contracts
- Arnis turns any place on Earth into a Minecraft world
- Introducing Zero Wire, a hub for investigating critical Internet vulnerabilities
- How we halved DNS build delay and cut memory use by 85%
- F3 Lightning: How Meta Accelerates Ads ML Features to Production at Scale
- Hear What Your IDE Is Doing: New Sound Cues in JetBrains IDEs
- The eMudhra Certificate Authority Compromise: What It Means for TeamCity
- TeamCity 2026.2.2 and 2026.1.6 Updates
- Where Did the Saved Bytes Go? Compact Object Headers in IntelliJ IDEA
- DataGrip and Database Tools User Experience Survey #3 Results
- JetBrains Earns 180 G2 Badges in Fall 2026, Recognized for Enterprise Leadership, Usability, and Developer Experience
- Livestream: Scaling Agentic Development With Air Governance
- New Bug-Fix Releases for MPS Versions 2026.2 RC2, 2026.1.2, 2025.3.3, 2025.2.5, and 2025.1.5
- The Ecosystem is the Answer: Docker, the Blueprint Alliance, and the Importance of Collaboration in the Agentic Era
- Where should your code live in a Docker Sandbox?
- Diagnose Distributed AI Workload Failures with NVIDIA Attribution
- Keep Distributed Training Running with Automated Workload Recovery
- Build World Models for Interactive Simulation with NVIDIA Cosmos
- 3 Ways to Boost MoE Inference on NVIDIA DGX Spark
- Running Frontier-Class AI Models Across 8 NVIDIA DGX Spark Nodes
- Code, Test, and Deploy on One Machine with NVIDIA RTX Spark
- Build Local AI Apps with C++ and NVIDIA TensorRT RTX Samples
- NVIDIA PAIR Virtual Inference Router Expands Available Compute on Your Local Network
- How “reverse game theory” could keep AI agents in check
- Here’s who is falling in line for Trump’s “Super Intelligence” loyalty test
- Raising the quality of insights in agentic analytics
- Stop counting tokens, start counting what ships
- The agentic web is here
- Coming in 2027: Apple’s $1,000 home robot for FaceTime and switching on lights
- Anthropic is still grappling with the economics of compute
- Apple restricts dating apps and AI companions to users 18 and up
- The TechCrunch Founder Summit agenda is only half the reason to be in Boston on Nov. 4
- Tomorrow: TechCrunch Founder Summit takes over Boston and when pass rates increase
- Apple Watch’s AI features for rewinding and recapping conversations begin beta testing
- Google takes Dreambeans to India in bid to bring AI-generated personal stories to the masses
- Apple may try to increase revenue by doing…something with third-party AI apps
- Y Combinator’s Garry Tan uses AI agents so much, he spends up to $200K a year on tokens
- Trajectory raises $45M to make AI model training accessible to nontechnical experts
- Anthropic warns that it’s very close to RSI capability, aka self-building AI
- Web host Squarespace lays off 19% of its employees
- New York Times and other outlets sue web browser Brave over alleged content scraping
- 42AI comes out of stealth with $62.5M and a world model that can ‘predict human behavior’
- Omen AI adds liquid know-how in $16 million Aquatic Labs acquisition
- 2 days till TechCrunch Founder Summit: Boston founders don’t need a Silicon Valley address to build something big
- Apple’s latest watchOS beta includes its new always-on Audio Intelligence features
- OpenAI says ChatGPT is catching up to Google in search
- Indie games are missing launch dates because Steam is backed up
- Midterm elections 2026: all the news
- Apple is all in on AI — its own and everyone else’s
- OpenAI is quietly renaming data centers ‘compute campuses’
- OpenAI pitches data center power plants as a way to protect nearby areas
- Google Launches LiteRT Tensor API for Building, Customizing, and Optimizing ML Models for On-Device
- Presentation: Beyond the Harness: Canvas for AI Agents
- Google and Meta Open-source TorchTPU to Bring Native PyTorch Support to Google TPUs
- Uber Builds MCP Gateway to Govern Access to 800+ Servers and 5,000+ AI Agent Tools
- Article: Systemic Approach to Memory, Knowledge, and Context in Agentic AI Architectures
- How a Kenyan Startup Is Rethinking AI for Small Businesses
- AI agents take over at SETI's Allen Telescope Array, scanning for extraterrestrial intelligence
- OpenAI hires ex-Army Secretary, gaining bipartisan reach just as midterms loom
- Nvidia pushes cloud customers to cut back on China business
- Huawei tells customers to find their own AI chip memory, effectively outsourcing procurement to the black market
- AI elites might hoard intelligence like mercantilists hoarded gold
- SpaceXSI apparently cuts Grok Bot quotas weeks after Musk called it his fastest-growing product
- 米コンピュータ職の調査、出社増の条件は給与が67%で首位
- LXDとMicroCloud、公開証明書を中間に置くだけでAPIの認証を突破される
- WorkOS、営業用の社内ツールに不正アクセス 本番の顧客データは確認されず
- Google、盗んだLLM利用枠の転売で日次10万ドル超の請求を確認
- Chrome 158ベータ、別サイトのWebアプリをインストールするAPIを追加
- Next.js、不要なJavaScriptをエージェントが見つける技能を公開
- Revolut、日常的なコーディングをZ.aiのオープンウェイトGLMに移行 AI支出は10分の1、コーディング時間60%減と社内資料
- Playwright 1.64.1同梱のChromiumは156.0.8078.4 10月下旬のChrome修正が入っておらず、AIエージェントで任意のサイトを開く用途に注意喚起
- Meituan、総パラメータ1.6T・アクティブ約48BのマルチモーダルエージェントモデルLongCat-2.5を公開 APIは新規登録で1,000万トークン無料
- Google、Android TVボックス130万台超のXCPEボットネットを停止 メーカーのVideostrongが意図的にバックドアを組み込んだと断定
- BTCPay Server 2.4.1以前でホットウォレットから資金が盗まれる 更新だけでは不十分とし、新しいサーバーとウォレットへの移行を呼びかけ
- Claude Opus 4.7・4.6、Sonnet 4.6、Mythos 5の出力に11月3日からテキスト透かし Opus 4.6とSonnet 4.6はサンプリング設定がデフォルトのときのみ
- 10月26日〜11月2日、預かり鍵と未修正のカーネル・証明書
- タッチ対応のMacBook Proが予約開始、M5 ProとM5 Maxで11月6日発売
- AWS Private CAのKubernetes発行元に認可不備、更新前の確認が必要
- Jepsen、ParticleDBに96件の不具合 新規導入の停止を勧告
- 同じ小規模アプリを12種のJSで作らせた費用、順位は揺れが大きい
- Chrome 157でHTMLをCanvas内に描けるAPIが安定版になった
- 有料の新規GeminiプロジェクトはAPIリクエストを既定で保存
- Claude Codeを使ったバイブコーディングで30分で業務アプリを作ってみよう
- OpenAI・Google・Microsoft、robots.txtでAI学習の許可・拒否を一括指定する新たな仕組みに対応へ
- 第135回 MySQL 26.10リリース、PostgreSQL Conference Japanの注目セッション、Tsurugiと分散量子コンピュータ
- Zyphra AI Introduces Zyphra Hierarchical Attention (ZHA): A Path to True Subquadratic Attention
- The Letter Company Releases Letterpress-1: A Coding Agent Built for Growth Engineering
- Deep Principle Releases Hydrogen-1.0: A 753B Open-Weight Model for Scientific Discovery
- NVIDIA Releases Auto Ontology: An Open Semantic Layer That Grounds AI Agent SQL
- Meet qwenGPU: Qwen3.5-2B With 45 Compiled GPU Layers That Run CUDA
- A Generalized Sparse Fuzzy Clustering Framework with Automated Cluster Cardinality Estimation Ability
- Learning to bid and bundle: a posterior-sampling agent for online retail
- Early Stopping in Large Reasoning Models: A Survey and Empirical Audit of Efficiency and Reliability
- PatchScout: Thematic Web Data Collection via Information Foraging
- Reimagining Text-to-SQL: A Survey of Large Language Model Architectures and Strategies
- AuroraWorld: Structured 4D World Modeling for Exo-to-Ego Video Generation in Robot Manipulation
- Neurons Are All You Need
- MemU-Bench: Benchmarking GUI Agents on Long-Horizon User Interactions
- From Cross-Section to Cross-Omics: Conditional Cell Nucleus Image Editing in Spatial Transcriptomics
- RE-SciVQA: Improving Scientific VQA With Context-Relevant Retrieval and Lightweight MLLM Adaptation
- OmniPiano: Diverse Dexterous Piano-Playing Challenges for Standard, Robust, Safe, and Multi-Agent RL
- Taurus: LLM-in-the-Loop CT Annotation Matches Coding Agents at Half the Cost
- A generative foundation model for computational brain imaging
- Automated Theorem Generation in First-Order Logic by Construction from Triangular Standard Contradictions
- Quantifying Local and Global Fidelity of Nonlinear Embeddings
- Decentralized Multi-Agent Coordination and Communication in Shared Codebases
- Beyond Semantic IDs: Atomic Creator Tokens for Large-Scale Generative Recommendation
- Efficient NPN Classification for Large Functions using Graph Neural Network
- Dependence-Aware Risk Assessment and Optimal Design of AI-Agent Safeguard Systems
- CalVLA: Shaping Native Confidence in Vision-Language-Action Policies with Outcome Supervision
- Hacking or Just Failing? A More Capable LLM Monitor Better Separates Reward Hacking from Honest Failure
- Nonconformal Distortion and Local Orientation Reversal in the Fourier Circuit of a Modular-Addition Transformer
- OmniMechanism Design for Human-AI Collaboration with Impressionable Minds
- Quantiles, Not Points: Streaming Quantile Matching for Ordinal-Aware LLM-as-a-Judge Calibration
- From Small to Large: Assessing Medical Reasoning, Benchmark Contamination, and Model Size in Language Models
- Exo: An Architecture for Self-Improving Systems at Runtime
- Compression Technique Interactions in Small Language Models: A Factorial Ablation Study
- Few Trials, Many Metrics: Beta Mixtures for Low-Budget AI Evaluation
- Swap, Replicate, Read the Mass: A Protocol for Auditing Demographic Bias in System One Decision Models
- Robustness Starts with the Objective: Designing and Certifying Robust LLM-Generated Heuristics
- To Jev or Not to Jev: When Can System-1 Decision Models Replace LLM Judges?
- Agentic Context Management for Multi-Turn Human-AI Conversations
- Skill++: Towards Lifelong Agents via Routing-Aware Skill Refinement
- Low-Margin Branch Points in Deterministic LLM Deliberatio
- Governing Equations of Human Sleep Macro-Structure:Symbolic Discovery from 1,106 Nights
- WAR-CRAFT: Refining Web API Recommendations through Requirement Auditing
- Evolving Scientific Intelligence: From Fragmented Evidence to Distributed Experimental Loops
- State-Aware Activation Recomputation with Replay Contracts and Selective Preservation
- X-World 1.6: Building Controllable Virtual Cities with World Models
- Editing the Goal: Per-Token SAE Steering and Its Depth Limits in $\pi_{0.5}$
- Conversational Interaction for LLM-Based Clinical Text-to-SQL: A User Study with Healthcare Professionals
- Trail: Accurate Local Smart Home Control Using Decision Models
- LM6-CastBench: A Geometry-Aware Simulation Dataset for Transient Thermal Prediction in LM6 Sand Casting
- XLA from the Trenches: Correctness on TPU Workloads at Scale
- Autonomous Analysis of Thermoelectric Materials Big Data by Multi-Agentic AI and Construction of a Knowledge Base and Specialized AI
- TopoQuant: Topological Framework to Characterize Behavioral Shifts in Quantized Large Language Models
- Evidence-grounded large language models guide perovskite solar cell design and optimization
- FastAgent: A Physics-Aware FastFluent-to-Fluent Workflow for Rapid CFD Screening and Industrial Steam Dewaxing Design
- Designing Behavioral Profiles for Language Model Simulation of Out-of-Distribution Human Behavior
- Can Jev Improve Demonstration Retrieval for In-Context Learning?
- Inherited or Learned? Backdoor Selectivity in Distilled Language Models
- Reading Between the Chapters: A Graph-Free RAG Rebuilt With AI and Human Feedback
- Designing Informative Actions: Action Construction for Long-Horizon Research Agents
- Decision-Centric Research: A Calibrated Decision Model and Benchmark for Scientific Agents
- Who Schedules Agent Memory? A Sidecar Approach to Long-Horizon Tasks
- One Offset, Two Directions: Baseline Adjustment via Subgroup Offsets
- A Tool in the Forward Pass: Frozen Tape Modules as Layers of a Small Language Model
- BridgeDock: Taming Generative Co-Folding Prior for Molecular Docking with Diffusion Bridge
- A Discrete-Time Variational Objective for Degenerate Diffusion and Equivalence to Flow Matching
- AI Data Analysis: A New Approach - Multi-engine Joint State Data Analysis
- VCoT-SQL: Enhancing Text-to-SQL Generation through Dual Chain-of-Thought Validation Training
- AdKnob: Ad Intensity Control and Labeling for LLM-Native Advertising
- Can Agentic AI Undermine Its Own Assurance Loop? Closed-Loop Dependency Assurance for Cognitive Network Digital Twins
- Benchmarking Machine-Learning Classifiers for Neoantigen Immunogenicity Prediction and the Limits of SHAP Interpretability
- Pulse: Long-Horizon Tasks Need Streaming Personalization
- GURU: A Hierarchical Neuro-Symbolic Multi-Agent System for Verification-Aware Automation of Mission-Critical Digital Engineering and Operations
- Leap-VLA: High-Rate Robot Control from a Low-Rate VLM Backbone
- IJev: Order-Invariant Decisions via Iterated Cyclic Reordering
- Constraint Dependency Graph Retrieval for Compliance Detection on Long SKILL Documents
- Temperature, Not Knowledge: What Recursive Self-Training and Its Remedies Do to a Language Model's Confidence
- Appointed-Time Fault-Tolerant Fast Terminal Sliding Control for UAVs with a Tracking Error-Based Disturbance Observer
- Robust Reward Machine Learning and Execution in Noisy Environments
- HiGenTrans: Hierarchical LLM Knowledge Transfer for Generative Recommendation
- Compile as Hypothesis: A Headroom Typology for Prompt Optimization on Real Reasoning Models
- EMG-Hybrid: A Dual-Engine Elite Memory--Guided Adaptive Optimization Framework for High-Dimensional Feature Selection
- CivicBench: A Benchmark and Memory Framework for Web-Based Civic Data Analytics
- Capacity Planning for Resource-Constrained Clinical LLM Serving
- Concept-Guided Prompting Strategies Increase Diversity in LLM-Generated Recipe Populations
- OntoDoc: Automatically Generating Ontology Resource Descriptions
- What Do LLM Judges Actually Verify? Matched Controls and Record Gaps for Document Currency
- Are Fake Citations a Form of Reward Hacking? A Pre-Registered Study of Post-Training and Citation Cues
- Urban functional knowledge transfer through global representations amid uneven data
- Large language models underrepresent malice and overreport virtue
- A Self-Exploring and Self-Evolving Paradigm for Adaptive Edge AI Development
- Learning by Doing: Autonomously Compiling and Curating Agent Skills from Verified Traces
- FOCUS: Closed-Loop Attention Feedback for Efficient Vision-Language Understanding
- I-PTC: Interactive Programmatic Tool Calling for Stateful Tool-Augmented Agents
- CONFIRM: Governing Scientific Reporting for Trustworthy Agentic Neuroimaging
- From Tool State to Scientific Action: Auditing Decision Provenance in Biomedical Research Agents
- \textsc{ChatDify}: Automating End-to-End Dify Workflow Synthesis from Natural Language via Multi-Agent Collaboration
- Seeing What Matters, Verifying What Pays: Load-Adaptive Speculative Decoding for Vision-Language Models
- Chain-of-Thought Oversight Requires Separate Evidence for Faithfulness and Monitorability
- Local or Escalate? Post-Training Expert Routing for Real-Time Duplex Speech Models
- Xiaomi Auto World Model 2.0: Causal World Models for Real-World Driving and Embodied Intelligence
- SPAR: Experience-Driven Strategy Evolution in Multi-Session B2B Sales
- MemHarmBench: Evaluating Cross-Session Prompt Injection in Memory-Persistent AI Agents
- Just-in-Time Skill Retrieval via Long-Horizon State Tracking
- Route-Guided CBF-QP Repair for Safe Vision-Language-Action Models
- Delivered, Not Used: Evaluating Agent Memory at Its Point of Use
- CoGSeq-LTV: Scalable Missing-Aware Graph-Sequence Modeling for Multi-Business Transaction Analytics
- NEIGHBOR: Aligning Service Behaviour and Evidence Use in an LLM Agent for Community Resident Services
- Self-Evolving Agentic Workflows via Semantic Decomposition of Complex Tasks
- A Compute Center Anyone Can Join: A Peer-to-Peer System for AI Inference
- Fairness-Aware Design for Contextual Experiments: Guaranteeing Reliability and Equity in Heterogeneous Subgroups
- Does reflective LLM feedback survive a wet-lab-scale label budget?
- Who Asks, Who Answers: Linear Attention Builds the Query in Hybrid Language Models
- Is Your Long-Horizon Benchmark Really Deep? Measuring and Synthesizing Depth in Terminal Tasks
- Geometric Morphology Learning: Empowering Foundation Models from Structure to Spacetime Intelligence
- TriPhysBench: Evaluating Physical Intelligence for Embodied Agents
- Beyond Multimodal Emotion Conflict: Temporal Context-Aware Hidden Emotion Detection with Multimodal Large Language Models
- Hippocampal consolidation without replay in fully fine-tuned networks
- Opening the Black Box of Neural Auction Mechanisms
- RubricWorld: World Model-Guided Rubric Optimization for LLM Graders
- Safety4DM: A Vision-Language Framework for Risk-Aware Dynamic Maps in Vehicle-Road-Cloud Collaborative Driving
- To Align Long, Plan Short: Simulating Diverse Profile-Aligned Students by Realizing Short-Term Plans in Long-Horizon Learning Environments
- ClickSight: An LLM Framework for Interpreting Student Clickstreams Through Learning Strategies
- LARK: Lean-Assisted Reasoning for LLM-Generated GPU Kernels
- State-Aware Virtual Patient Simulation for Training Psychiatrists in Challenging Clinical Scenarios
- SWE-Trail: History-Guided Trajectory Collection for Coding Agent Training
- Decoupled Predictive Decision Making: A Shared Conditional Predictor for Agents
- ParetoSaddler: Pareto-Guided Optimization of Agent Harnesses for Quality and Cost
- Rewarded for Not Getting Caught: Why Alignment Training Selects for Conditional Compliance and Cannot Instill Norms
- Inner-Speech Decoding from EEG Across Three Corpora Under a Fixed Architecture and Protocol
- Recursive Reasoning Exploration: Mathematical Research through Evolving Reasoning Graphs : case study: An Exact Certificate-Degree Theorem for Two-Term Tensor Decompositions : Phase III of the Math Instruments Program
- ZeroGraph: Compositional Blockwise Training via Materialized Boundary Supervision
- TIGER: Learning from Researcher Taste to Generate Tailored Research Ideas
- Can LLMs Reliably Evaluate Themselves? A Probabilistic VC Framework
- The 3-Tier Integrated Technology Risk Model for Occupational Safety and Health
- Beyond Binary Detection: Type-Aware Hallucination Analysis and Hierarchical Detection in Financial Question Answering
- Data-Scarce, Multi-Granular, Multimodal: Benchmark Design for Biosynthetic Gene Clusters
- Toward Agentic AI-Ready Workflows in Built Environment Organizations: Knowledge Structures and Interoperability Challenges
- Accessed, never disclosed: Silent access to protected health information by medical artificial intelligence agents
- LEANGUARD: Lean-Verified Guardrails for Tool-Using Agents
- SGR-OPSD: Learning from Subgoal Plans with Graph-Regularized Credit Assignment for Agentic Reinforcement Learning
- RecGroupMemory: Feedback-Aware Cohort Memory for E-Commerce Recommendation
- RLiD: Reinforcement Learning in the Decision Plane for Language Agents and LLMs
- Think Globally, Generate Personally: Multi-View Thinking with Adaptive Generation for Generative Recommendation
- MAGAR: Multimodal Agents for GUI-Based 3D Mechanical Assembly and Minimal Rework
- Benchmark of THReD: Evaluating an LLM Agent and Its Preprocessing Tools for Turning Electronic Health Records into AI-Ready Datasets
- Towards Multi-Value Alignment via Value Localization in LLMs
- AttentionIndex: Accelerating Learned Sparse Attention with a Causal Inverted-File Index
- A balloon effect: ban one channel and a hidden trait finds another
- When Prediction Shapes the Future: A BlueSky Agenda for Reflexive Time Series Analysis
- Cumulative and Audited Guardrail Tool Evolution for LLM Agent Safety
- FORGE: Fault-Oriented Rework Code Generation for Executable Interlocking Assembly
- EEFA: A Framework for the Ethical Evaluation of AI Agents
- Probing Local Conditional Fit for Diffusion Model Membership Inference
- BasisKV: Value Latents for Communication and Key Routing
- Parallelism-Aligned Pruning and Round-Aware Context Reuse for On-Device Multimodal Agents
- Widening Harm Evaluation Coverage with a Judge that Reads the World
- Measuring AI Agents as Teammates with Collaborative Intelligence
- Variable names provide priors: semantic grounding enables data-efficient numerical prediction by large language models
- InterFuse: Interaction-Guided Adaptive Fusion of Heterogeneous Models for Payment Risk Ranking
- SearchInject: Retrieval Exposure Control for Indirect Prompt Injection in Language-Model Search
- Parametric CAD Bench v3: Evaluating Agentic Parametric CAD Authoring from Text and Engineering Drawings
- UPSHIFT: User Preference Steering from Human-AI Interaction Feedback Traces
- Chain of Faith: Policy-Internal Rewards for Reasoning Reliance
- Auditing Representation-Space Fraud Detection: A Bayesian IRL Framework for Calibrated Uncertainty and Its Limits
- Reap: Uncovering Monte Carlo proof search with a lightweight model
- Human-Oriented World Model
- GeoGuesser Bench: Benchmarking Vision-Language Agents on Interactive Geolocation
- Beyond Answers, Traces, and Efficiency: Evidence for Adaptive Reasoning
- Human-Supervised Artificial Intelligence Researchers in Electric Power Systems: Knowledge, Physics, Simulation, and Governance for Large Language Models
- MURFormer: Attention-Based Lightweight Multi-Scale Uncertainty-Guided Refinement Framework for PPG Denoising
- AffToM: Benchmarking Recursive Affective Theory of Mind in Dynamic Multi-Party Interactions
- Is your LLM an Agressive Narcissist with Depression? Analyzing Psychological Portraits of Large Language Models
- Stage-aware Multimodal Brain Graph Contrastive Learning for Neurodegenerative Disorder Diagnosis
- DrawOffer: Evidence-Grounded Longitudinal User-State Modeling for Career Support
- SelfImprove-Bench: Evaluating Generalization in Self-Improving Agents
- Analysing the Narrative Paradox through Formal Models and Properties in Interactive Narrative
- Creating Hybrid Interactive Narrative Systems with LLM: From Formal Description to Evaluation
- Offline Approximate Value Iteration: A Reinforcement Learning Approach for Satellite Constellation Deployment
- Predictive Safety Guardrails Do Not Always Make LLM Agents Safer
- RxnMiner: A Multimodal Agent for Structured Reaction Data Extraction from Chemistry Figures
- Think with Skills: Pseudocode Planning Before Execution for Advanced Reasoners
- CARE: Grounded Recursive Self-Improvement for Production Customer-Service Agents
- SpecOPD: Branch-Parallel On-Policy Distillation for Speculative Decoding
- TLAPS-Bench: Formally Proving Correctness of Real-World System Specifications with TLA+ Proof System
- Value-Conditioned Proposal Acquisition for Test-Time Reasoning
- Integrating Domain Adaptation and Retrieval-Augmented Generation for Saline-Alkali Land Reclamation Planning
- JABER: Sequential Quality Control for Human-AI Data Annotation under Shared Bias
- Bridging Low-Level Image Fusion and High-Level Semantic Understanding
- What makes a theorem interesting? Operationalizing interestingness for open-ended exploration
- User Attributes and Political Ideology Shape LLM Receptiveness in Online Political Debates
- Why Tabular Foundation Models Excel on Relational Data They Have Never Seen
- Action Verification through Conjecture and Refutation for Language Model Agents
- CAREFUL-Bench: Effect-Aware, Judge-Free Evaluation of Multi-Turn LLM Function Calling
- BLPO: Beyond-Local Policy Optimization for Long-Horizon LLM Agents
- PRIME: Predictive Routing of Interventions by Modeling Effects for Scientific Ideation
- Networked AI: Architecture, Theory, and Applications
- Towards a Trustworthy and Governable Internet of Agentics: An Architectural Perspective on Protocols, Systems, and Services
- Avatar Intelligence: Amplifying Human Agency Through Persistent Personal Agents
- A Fine-Grained Hierarchy and Benchmark for State Tracking in Language Models
- LUCA: A Synthetic World for Experimental Reasoning
- From Local Skills to Long-Horizon Web Tasks: Progressive Skill Exploration for LLM Web Agents
- ComplianceAtlas: A Taxonomy-Driven Agentic AI Framework for Automated AI Act Gap Analysis and Remediation
- CUA-Master: Scaling Computer-use Agents through Open-World Recursive Improvements
- Toward Knowledge-Centric AI: Discovering, Internalizing, and Using Explicit Knowledge Across Agents and Generations
- CoworkOS:Scaling Agent Coworkers for Real-world Automation
- Auto-Research Agent on MSA Organization to Improve Protein-Protein Complex Structure Prediction
- Axion 1.0: Open Agent Foundation Models, Simplified
- ScienceCUA: Resource-to-Skill Construction and Execution-Guided Skill Evolution for Scientific Computer Use Agents
- Top-$k$ Retrieval Leaves Memory Value Undetermined
- From FAIR to AI-FAIR Metadata-First Infrastructure for AI-Enabled Science
- The SIMPLE Law for Energy Cost of LLM Inference
- Mixed-Methods Exploration of Sociotechnical Factors to Improve Adoption of Crime-Reporting Apps in Urban Communities
- Same Outputs, Different Scores: Auditing the Unchecked Graders of Multimodal LLM Benchmarks
- Can We Stop the Backtest Yet? Anytime-Valid Promotion Tests for Adaptive Financial Research Agents
- LAND: Learning an Adaptive Number of Draws for Bayesian Best-of-N Selection
- DeliverBench: Benchmarking AI Agents on Delivering Realistic Multi-Stage Professional Projects
- Optimize the Harness, Not the Model: Fitting a Minimal Agent to a Self-Hostable LLM for Investigative Analysis
- Playing Dumb: How a Chess Transformer Simulates Users Across Skill Levels
- Online Label-Free Gradient Matching for Continual Language Model Training
- Can AI Do Formal Demography? Why Vaccinating the Oldest Saves Both the Most Lives and the Most Years of Life
- Grading the Unannotated: Insights from the WorkRB Skill Extraction Challenge at RecSys-HR 2026
- An Agentic Framework for Automated Power System Studies and Grid Connection Assessment
- FedReady: Bounded Agents for Federation Formation
- Four Bridges: Measuring Deception Propensity in a Multi-Agent Game
- DiabAgent: Toward Agentic Physiological Control
- Strategist: Evolving Reasoning with Agents
- WebHarbor: Docking Real Websites for Evolving GUI Agent Environments
- From Natural Language to Exact Cover: A Neuro-Symbolic Approach to Zebra Puzzles
- Output-Aware Block Influence: Jacobian-Lens Weighting for Depth Pruning
- Beyond the Last Layer: Global Inter-Layer Aggregation for AI-Generated Image Detection
- Intervenable Concept Dynamics for Video Activity Forecasting
- SFA: A Statistical Physics-Inspired Diffusion Transformer for Efficient and High-Quality Image Generation
- A Trustworthy Clinical Decision Support Framework for Brain Tumor MRI Classification: Integrating Attention-Guided Learning, Explainable AI, and Out-of-Distribution Validation
- From Single-Shot QA to Continuous Perception: Revisiting the Energy Composition and Optimization Boundary of Edge VLMs
- Beyond Black Boxes: An Ontology Based Vision Framework for Transparent Fruit Disease Detection
- Real-Time Obstacle Detection and Distance Estimation on Smartphones for Visually Impaired and Distracted Pedestrians
- Think Before You Locate: Clinical Chain-of-Though Supervision for Sequential Medical Image Grounding
- Out-of-distribution AI-generated image detection with zero-phase deconvolution for residual whitening
- ReactionBench: A Human-Anchored Benchmark for Modeling Reactions to Video
- SemaNorm: Stain Normalization via Semantic and Morphology Alignment for Robust Cross-Hospital Computational Pathology
- Memorix: Managing Memory Selections for AI Agents
- SAMP: Self-Adaptive Margin Prioritization For Robust Diffusion Watermarking
- CRaFT-XDet: Causal and Robust Fusion Transformer for Dual-Energy X-ray Prohibited Item Detection
- CRAFT: Corrective and Robust Multi-Agent Framework for Text-to-Parametric CAD
- Evaluating Context Sensitivity of Collaboration Behavior in Multi Party Simulation Frameworks
- Pano2BIM: A Geometry-Constrained Vision-Language Agent for As-Built BIM Generation from a Floor Plan and a Single 360$^\circ$ Image
- A Novel Lightweight Multi-Scale Branching Encoder for Few-Shot Image Classification
- Demystifying Prompt Stealing Attacks against Synthetic Video
- DTP-OPSD: Reinforcement Learning with Distractor-Aware Temporal-Privilege On-Policy Self-Distillation for Temporal Video Grounding
- SPARQLcirc: Probabilistic Query Evaluation with Provenance Circuits
- FB-MOAC: A Reinforcement Learning Algorithm for Forward-Backward Markov Decision Processes
- Kerkoporta: Injecting Structured-Output Backdoors in Reasoning Coding Agents
- From Concepts to Actual Causes: Toward Closing the Concept-Malfunction Gap in Robot Foundation Models
- From Fragmentation to Fusion: A Survey and Roadmap for Omnimodal Embeddings
- Spectral and Conformal: Neural Network Methods for Calibrated Trajectory Prediction and Control-Point Intervals
- Outstrumental Variable Regression
- DELBERT-2: Pretrained Fingerprint Language Models for DEL Protein Binder Prediction
- VerusWeave: A Benchmark for Proof Repair in Concurrent Verus Programs
- When AI Agents Act on Our Behalf: A Taxonomy of Human-Agent Interaction Failure
- TADA: Technology Aware DNN Accelerator Performance and Energy Estimator
- A Framework for Task-Agnostic Counterfactual Fairness in Transformers through Activation Steering
- C3: Speech-Guided KV Retrieval for Long-Context SpeechLLM Inference
- Decomposing Irregular Time Series into Interpretable Temporal Patterns with Mixture-of-Experts
- SPARK: Self-Correcting Embodied Memory via Physical Re-Observation
- On the Limits of Test-Time Compute for Self-Evaluation
- Cross-Prompt Reuse of Entity-Replacement Responses
- LF-VideoQA: Evaluating Long-Video Understanding with Long-Form Theory-of-Mind Questions
- Agent Stack for ML Training Lifecycle: Generation, Validation, and Optimization
- Geometric and algebraic inference in humans and neural networks
- On the Framing Effect of AI Red-Teaming Instructions: Evidence from Prior Exercises and Controlled Simulations
- A Spectral Renormalization-Group View of Learning
- Online Fair Division of Chores with Upgrade Recourse
- Fidelity Collapses with Table Size, Not Turn Count: Delivery Architecture in a Deployed Tool-Using Agent
- Analog and hybrid computing in the 21st century
- Learning to evolve by matching velocities
- From Lookups to Lessons: Turning Retrieved Knowledge into Parametric Memory
- Threat Modeling Intimate Partner Abuse in Agentic Systems
- Spotting the Artificial: Dialogic Humor Improvisation in Humans and LLMs
- Do Social Influence Pressures Move LLM Agents? Evidence from Delegated Audit Judgment
- AStockArena: Beyond Returns, Can We Entrust Real Capital to the Decisions of Financial Agents?
- Reflex: Fast Robot Policy Serving by Reusing and Correcting Past Actions
- Faster Imitation by Re-timing Demonstrations Within the Controller Limit
- The First-Order Value of Free Covariates in Budgeted Risk Monitoring
- Conic Certification of Transformer Attention
- Guarded Compression of Adam Optimizer State with Shared-Gradient Bounds
- Multi-Estimate Elicitation Does Not Uniformly Debias Language Model Judgments
- Sparse Autoencoder Attribution Graphs Are Decided at the Margin
- Words Before Pixels: Selective Modality Routing for Vision-Language Model Unlearning
- Learning from an Imitable Teacher: Competition Solution for the MetaFine Challenge
- Discovering Models for Experimental Quantum Systems with Agentic AI
- Log-Driven Semantic Tuning for Mixed Integer Programming Solvers
- Selecting LLM-Generated Hypotheses Raises Truth Beyond What an LLM Panel Expects: A Pre-registered Study on NAS-Bench-201 and HPOBench
- Precedent Labels and Facts Shift LLM Approval Decisions in Opposite Directions
- Getting a Grip: Operating Human-Agent Software Teams Through Governed Messages
- SAVIER: Source-Anchored Visual Inspection and Evidence-Guided Repair for Vietnamese Cultural Text-to-Image Generation
- Architecting Fairness-Aware LLM Interactions
- Beyond Synthesis Conditions: Linking In-situ Growth Dynamics to Carbon Nanotube Forest Properties through Multimodal Machine Learning
- ResMamba: A Dual-Path Convolution-Mamba Model for Music Genre Classification
- Old Is Not False: Valid-Time Memory for Interactive Video World Models
- HiPaper: A Human-AI Collaborative System for Academic Literature Triage and Scholarly Sensemaking
- PhoneValue-Bench: A Multimodal Benchmark and Datasets for Consumer Smartphone Recommerce Valuation
- Agent4FreeFem: A Verification-Guided Framework for Autonomous Topology Optimization
- ShiftRAG: Bypassing the Textual Bottleneck via Decoupled Learning and Continuous Soft Tokens
- Microphone Geometry Aware Regional Target Speaker Extraction
- Clockwork: Scheduling Compound AI Systems in Space Data Centers
- S1CogBench: What System One Decision Models Can and Cannot Do on Cognitive Experiments
- TreePIN$^{2}$: Tree-Prior Initialized Neural Networks
- Illusion: Safeguarding Topology Confidentiality in LLM Multi-Agent Systems via Behavior-Preserving Obfuscation
- UI-UG 2: Advancing Mobile UI Understanding and Generation with Fine-Grained Supervision and Reinforcement Learning
- Labadain-MedQA: A Tetun Medical QA Dataset for Fine-Tuning and Evaluating Large Language Models
- MarkovTS: Pretrained State-Transition Representations for Zero-Shot Time Series Generation
- SNAPPerf: Software-Aware Tabular Foundation Model for Retraining-Free Performance Prediction of Configurable Systems
- HieraNTP: Structured Risk Representations for Time-Series Anomaly Detection via Hierarchical Next-Token Prediction
- Self-Refining Prompt Induction for Streaming Text-to-SQL
- 4K Image Super-Resolution on Mobile NPUs: Mobile AI 2026 Challenge Report
- Efficient Image Denoising on Smartphone GPUs: Mobile AI 2026 Challenge Report
- A Token Is Not a Unit of Difficulty: Segmentation Controls Where Adaptive Computation Goes Inside a Word
- Dependable Agents Need Hard and Fuzzy Rules
- Label Smoothing in Disguise? Gated Knowledge Distillation for Low-Resource Bangla Generation
- Ripple: Deadline-Aware CPU-GPU Sharing for Embodied Inference
- Auriga Technical Report: A Task-Agnostic Agent Harness for Zero-Shot Embodied Manipulation
- What Does a Safety Label Measure? Auditing Situational-Safety Benchmarks for Multimodal LLMs
- SIDRec: End-to-End Semantic ID Representation and Modeling for Recommendation
- World Models Need Not Be Right to Rank Policies Right: Relative Bounds and Audit Limits
- Discussing politics with a chatbot: How political beliefs shape prompt formulation for generative AI
- Lightweight Representation Learning for Low Tucker Rank Tensors
- Satisfied, Not Solving: Wireheading of Bounded Homeostatic Rewards in Reinforcement Learning
- ArSciKids: Arabic Curriculum-Aligned Datasets for Scientific Experiment and Multiple-Choice Question Generation in Primary Education
- Vision-Language Models Are Joint Denoisers in Robotic Action Generation
- STLT: A Novel System for Energy-Aware Distributed Inference in the Edge-Cloud-Space Continuum
- How Much Can Approximate Equilibria Change the Social Cost of Selfish Routing?
- Mathematical Formulation and Comparative Performance Evaluation of Machine Learning Algorithms for Maize Land Suitability Prediction
- LoRAForge: Co-Designing Post-Hoc Compression and Execution for Efficient Multi-LoRA Serving
- Toward Bounding Coding-Agent Autonomy in Software Maintenance: A Pilot Study of Boundary Contracts
- Character-Name Concentration in LLM Fiction: Measuring Displacement and Mitigating Repetition
- CuriousTogether: Implications of Curiosity and Cultural Grounding in Multi-Agent LLM Interactions
- Step-dLLM: Adaptive Step-aware Sparse Attention for Efficient Diffusion LLM Inference
- The Verifier Is Part of the Simulator: Evidence-View Gaming in Agentic Equation Discovery
- J-Anchor: Defending Against Prefill Attacks via J-Space Selective Refusal Restoration
- ProofPatch: Reviewing Lean Statements and Keeping the Reviews Valid as Formalizations Evolve
- Toward Executable Multi-framework Front-end Code Generation with Self-Correction
- Vocabulary Aligned Explanations for Computer Vision Models
- ERIA: An Instruction-Optimized Agent for Clinical EEG Reporting
- Can Large Language Model Agents Learn by Watching Tutorial Videos?
- An auditable agentic pipeline for variant-to-gene prioritisation, validated against orthogonal functional evidence
- DIMWIT: Directly Invoking Models Without Intensive Tuning
- See, Think, Use: Diagnosing Perception and Reasoning Failures in VLMs
- Spectral-Convolutional Factorized Transformer for Joint Multipath Parameter Estimation: Applications to mmWave Positioning and Radio SLAM
- Sweep Less, Steer More: Using Activation Steering Geometry for Reduced Hyperparameter Search
- FedUDG: Federated Domain Generalization with Unlabeled Clients
- Improved Sample Complexity Analysis For First Order Bilevel Reinforcement Learning
- AI-Aided and AI-Oriented Integrated Sensing, Communication, and Computation: A Survey
- GSExplorer: Interactive World Generation with a Persistent 3D Gaussian World State
- Revisiting LLM Homogeneity Through a Multidimensional Lens
- TopoDPO: Dense Preference Alignment for Structure-Sensitive Aerial Referring Segmentation
- Generative Modeling with Continuous Flows: Sample Complexity of Flow Matching
- Finite-Time Online Sample Complexity for Conditional Diffusion Models
- Meta-memorization and memorization scaling laws in transformers
- Principled Human-AI Collaboration in Agentic Workflows
- Search-Aware On-Policy Self-Distillation with Sibling Alignment for Generative Recommendation
- Impossible Code, Barely Changed Score: A Replay Study of Judge-Based Evaluation
- Autoencoder Based Deep Clustering of Point Clouds
- SCOUT: Planning under Occlusion via Object-Centric World Model Rollouts
- DyRadio: Spatiotemporal Diffusion for Dynamic Radio Map Reconstruction
- Halal-NeSyNet: Clause-Scoped Neuro-Symbolic Cross-Attention for Automated Food Ingredient Auditing and Risk-Aware Halal Logistics Triage
- Special and General Computational Aesthetics
- EgoMo3R: Joint Egocentric Motion and Scene Reconstruction
- Zero-shot evaluation of open vision-language models as System 1 decision models on radiology tasks
- Benchmarking Vision-Language Models for Urdu Nastaliq Handwriting Recognition
- CREDO: Evidence-Conditioned Credit Assignment for Temporal Reasoning Agents
- dKV Forcing: Separating Generation and Memory Representations through a Differentiable KV Cache
- A Hybrid Anomaly Detection Method for Electric Vehicle Identification from Smart Meter Recordings
- A Hybrid Anomaly Detection Method for Multivariate Time Series
- Wave Physics as Representation: Tensor-Structured Neural Reconstruction for Ocean Acoustic Fields
- Phase-wise MLLM Tuning for Multi-framework WebUI Code Generation
- MatMoE: Matryoshka Mixture-of-Experts with Dynamic Mixed-Precision Quantization for Efficient Inference
- SMART-AIMC: Sensitivity-Aware Mixed ADC Resolution with Fine-Grained Tunability for Analog In-Memory Computing
- CST: Lightweight Risk Triage with Source-Grounded Evidence for Web Discussions
- MAC-Bench: Benchmarking Multi-Agent Collaboration via Interconnected Tasks
- Robust EEG-based Emotion Recognition from Coarse Trial-level Labels under Intra-trial Affective Variability
- Evolving Memory, Learning to Meta-Control: Test-Time Adaptation for Experience-augmented LLM Agents
- Silent Reward and Environment Defects in EV Charging Simulation Benchmarks: A Diagnostic Checklist
- MemRole: From Memories to Decisions for Long-Horizon Reasoning in Role-Playing Agents
- Control Barrier Functions for Safety-Aware Latent-Space Motion Planning
- LegoEnv: Self-Evolving Agentic Environments via Modular Recombination
- MEX: The Musical Expectation Benchmark Suite
- OpenNWM: A Generalist Navigation World Model with Latent Action Pretraining
- FADE: A Flow-Based Approach for Multichannel Tail Estimation
- Privacy-Preserving ECG-HRV Emotion Classification for Mood Swing Detection using Federated Learning on Constrained Edge Devices
- Quantizing Recurrent Language Models Is Easier Than You Think
- Rethinking Model Aggregation for Federated Learning with Domain Skew: A Knowledge-Preserving Perspective
- Systematic Evaluation of Robustness in Fine-tuned Models
- Machine Learning Beyond Statistical Consistency for Hybrid AI
- AgenticMobility: An Open-Source Platform for Multi-AI-Agent Mobility Dynamics
- RECEIPT: Measuring and Repairing the Return Assumption of LLM Agents in Web Service Operations
- VLSplat: Vision-Language Guided Object-Centric 3D Gaussian Splatting via Scene Graph
- Step-Zero Attack: Agent Safety Before Observability
- OC-OPD: Observation-coordinated Supervision for On-Policy Distillation
- Launder-Bench: Can Repository-Level Agentic Code Laundering Be Detected?
- Better Answers, Weaker Evidence Control: Evidence Bypass in On-Policy Distillation
- Knowledge-Guided Floodwater Level Reasoning for Cloud-Edge Collaborative Monitoring
- MUPA${}^2$S: Multimodal Unified Perception with Asymmetric Attention for Stress Assessment
- Beyond Prompt Injection: The Tool Update Gap in LLM Agent Security
- SurgStream: A Workflow-Anchored Proactive Streaming Framework and Benchmark for Real-Time Surgical Video Understanding
- TrackMem: Tracking Evolving Beliefs in Long-Horizon Financial Dialogue
- Scaling Makes It Possible: How Large Models Master Impossible Languages
- Reconstruction as Spatial Evaluation: Diagnosing Cross-View Spatial Intelligence in Large Vision-Language Models
- Query-efficient scan-and-search watermark localization
- Beliefs in feedback: Factored representations of interacting agents in transformers
- Do Embodied VLMs Actually Use Their Scene-Graph Memory?
- Scene-Adaptive Readout and Decoding in Diffusion Driving VLAs
- HQNN-CL: Regime-Aware Hybrid Quantum Neural Network with Continual Learning for Financial Forecasting
- EarthJev: Calibrated, Non-Generative Answers to Natural-Language Questions about Sentinel-2 Land Cover
- Consolidating Reasoning with Test-Time Training
- ZT-DAC: ML-Driven Dynamic Access Control Policy for Zero Trust in DER Networks
- Testing concept-level audits of melanoma classifiers with diffusion counterfactuals and matched positive controls
- Semantic Interoperability in Federated Digital Twin Systems: A Systematic Review Through the Levels of Conceptual Interoperability Model
- Value Forcing: Aligning Return Distributions at All Noise Levels
- Black-Box Adversarial Example Attacks on Machine Learning based Election Systems
- ANCHOR: KL-Anchored Adaptation for Stable Offline-to-Online RL
- Test-Time Scaling for Open-Ended Reasoning at Small Model Scale
- Forecasting Earth Surface Change in Embedding Space
- Discrimination, Calibration, and Ranking: A Unified Matrix Framework
- Iterative Gumbel Planning for Continuous Control
- Metamorphic Testing for Evaluating Robustness of Sentiment Analysis Models
- Qubrio: High-Performance Quantum Compilation via Multi-Agent LLM Collaboration
- Hinted Scaling Laws
- FactorSpec: Serving Exact Relational Constraints as Speculative Drafts
- Spatial Transfusion: From Structured Spatial Scene Understanding to Generation and Editing
- MemShift: Separating Detection from Repair in LLM-Derived Personal Memory
- AgiWorld: An Agentic Video World Model for Building Persistent Worlds
- Exploiting Textual Semantics for Robust Cross-View Object Correspondence
- Beyond Accuracy: How Quantization Affects Coding Agents
- Malware Clustering in the Wild: Taxonomy, Challenges, and Evaluation Metrics
- Late Autumn: LLM Agents Specialize a General Multi-Robot Planner for One Warehouse
- Solver-Like Behavior in Large Language Models as Formalizers
- Networked Synthetic Social Engineering on the Web
- Harvesting SWE Benchmarks from Wild Vibe Coding Sessions
- Turbo-GMM: FlashAttention-Inspired GPU-Accelerated Gaussian Mixture Model
- Multi-Teacher Reasoning Distillation for LLM Recommendation with Self-Exploration
- Chain on Demand: Deferred Evidence Organization for Long-Term Conversational Memory
- RecRSI: Mechanism-Guided Discovery of Recommendation Algorithms
- Cross-Domain Joint-Embedding Pretraining For Heterogeneous Industrial Time Series
- RoboColosseum: Evaluating Physical Intelligence at Scale In-The-Wild
- Neuro Inspired Robotics: What Robot Learning Can Borrow from the Sensorimotor Brain
- Latent Spectral Prompting for Multimodal Hyperspectral Object Tracking
- Scientific Liquidity Agents: An Agent-Based Model of Knowledge Arbitrage in Scientific Communities
- Sequential Recovery Updates for Learned Controllers under Successful-Trajectory Preservation
- They Know Where It Is, But Not What It Says: A Bilingual Hallucination Benchmark of Hadith Recall in Open LLMs
- AVID: A 5T fMRI Dataset for Benchmarking Auditory-induced Visual Mental Imagery Decoding
- StateFence: Task-State Protection Against Evidence-Chain Contamination in Blue-Team LLM Agents
- Whitened Advantage Summation Policy Optimization: Correlation-Aware Aggregation for Multi-Reward Reinforcement Learning
- Scalaris: A Scalable Enterprise Memory Architecture for Conversational AI Assistants
- SYNC: A Training-Free Inference Controller for Dynamic Layer Selection in Multi-Persona Alignment
- Where Is a Prediction Model Miscalibrated, and for Whom? Local Audits in Outcome-Learned Pockets
- Probe-Guided Gradient Balancing for Multimodal Learning
- VioTech: Frame-Level Violin Playing Technique Detection with Multi-Scale Mixture-of-Experts
- HistoTx: Early fusion of H&E images and spatial transcriptomics at varying spatial transcriptomics resolution with self-supervised learning
- Accelerating LLM Pretraining with Zeroth-Order Curvature on Idle Serving Compute
- The Customer Never Sees the Goal: Measuring and Detecting Vulnerability-Targeted Manipulation in LLM Assistants
- Closing the Dynamics Gap through Self-Directed Robotic Interaction
- Hindsight Credit Assignment over Trees for Agentic RL
- IssueLighter: An Issue Type-Aware LLM Agent for Issue Report Validity Assessment
- MoviEdit: Long-form Multi-Shot Video Editing Made Easy
- What Drives the Zero-to-One Jump? Diagnosing and Steering Hard-Prompt Learning in RLVR
- Investigating the effects of the patch size in Time Series Foundation Models
- DINOFAS: Bonafide-Centric Representation Learning for Face Anti-Spoofing
- DIKT: A Diagnostic and Interpretable Knowledge Tracing Framework for Prediction and Model-based Learning Analysis
- Risk-Constrained Evaluation of Financial Document Recognition: A Formal Framework for Evidence, Critical Errors, and Selective Automation
- LipLingo: CNN Model for Lip Reading
- Spectral Degeneration of Self-Attention under Isotropic Score Geometry
- Stop Handcrafting Your Engine! GenDB-V: Towards AI-Generated and Formally Verified Database Systems
- Rethinking Neural Decompilation: Candidate Selection as the Hidden Bottleneck
- MultiMental-IAS: A Multimodal Driver Mental State Analysis Dataset for Context-Aware Non-IID Evaluation
- OmniOPD: Stable On-Policy Distillation for Joint Audio-Video Generation
- Discovering hierarchical governing equations for community-structured complex network dynamics with LLM agents
- Reimagining computational quantum research with AI scientists
- Math Foundation Formalization Agent: A General-Purpose Approach to Formalizing Mathematical Foundations
- Kolmogorov-Arnold Networks vs. Multi-Layer Perceptrons: A Rigorous Statistical Benchmark on Clinical Tabular Data
- Tug of Watts: A study on the Energy - Accuracy Trade-off of Large Language Models on Medical Question Answering Tasks
- Voice-Native LLMs Hear Frustration but Do Not Listen to It
- Maswao: An automatically collected, prepared, and benchmarked dataset for the South African Sign language
- Defining Autonomous Weapon Systems: A schematic framework for refined purpose-driven definitions
- Training-Time Domain Transfer for Generator-Free Diagnostics on Novel Modalities in Computational Pathology
- PlagiaCorpus: A Bilingual, Adversarial, and Cross-Lingual Dataset for Forensic Plagiarism Detection
- Balancing Representations by Identifying and Generating Under-represented Data
- Specification-Aware Predictive Uncertainty Decomposition
- Q-CamTuning: A Multimodal Large Language Model for Fine-Grained Quality Reasoning in Livestreaming Camera Tuning
- Comparative study of global pooling for pre-departure ship fuel consumption prediction: Advantages over per-ship and adaptation-based approaches
- VideoEditor-MoE: Scaling Complex Video Editing with Mixture of Experts
- Unlocking Criminal Court Decisions: Flexible Information Extraction for Empirical Legal Research
- PACERec: Progressive Adaptation of LLM Item Embeddings with Collaborative Evidence for Recommendation
- MIRA: Reinforcing Multimodal Reasoning via Deceptive Contextual Augmentation
- An Experimental Study of Hybrid Retrieval, NLI and Open-source LLMs for Scientific Claim Verification
- Multimodal Prompt Learning with Dual-Granularity Contrastive Alignment for Preoperative Prediction of Lung Adenocarcinoma Invasiveness Using 3D CT
- Visual-to-Executable Procedural Reconstruction of Buildings
- Beyond Surface Metrics: Multi-Condition Requirements in Enterprise Maintenance and AI Coding Benchmarks
- LaBraM at Scale: Scaling Data and Models for EEG Pretraining
- Written Once, Read Differently How Language Models Own Answers Steer Their Next Ones
- Reducing SNAP Payment Errors at Lower Cost With AI: A Simulation Study
- Can Coding Agents Sustain Continual Evolution without Forgetting?
- CERBO: Certified Recourse at a Requested Rate for Gradient-Boosted Trees
- Do Agents Still Follow the Rules? Benchmarking Rule Compliance under Agent Context Compaction
- Rethinking Fairness Metrics for Multi-Class and Multi-Group Assessment: Not Everything is Binary
- SQLoom: Set-Contrastive Learning of Syntactic, Semantic, and Logical Dependencies for Text-to-SQL
- An Axiomatic Framework for Reinforcement Learning in Open Multi-Agent Systems
- LLMs Depend on Specialist Tools for Out-of-Distribution Generalization in MS/MS Structural Elucidation
- TrafficInstruct: A Multi-Task Network Traffic Dataset and Benchmark for Instruction Tuning
- Characterizing When Language Models Take Harmful Actions to Protect Their Assigned Goals
- CrowdForge: Effects of Audio and Visual Audience Participation Modalities on Agency, Collaboration, and Engagement in AI-Mediated MR Performances
- From Reactive to Agentic Resilience: Multi-Timescale AI-RAN Orchestration Under Signaling Storms
- Harder Than the Task: From Technical to Organizational Difficulty in AI Benchmarking
- A Cross-Domain Matrix Engine for Signal Processing and Deep Neural Net Inference
- VIAS: Value-Isolating Activation Steering for Multi-Value Alignment and Compliance for Organisations
- PanoTac: A Dense Three-Axis Tactile Sensor for Robust Touch-Centric Manipulation
- Library of Layers (LoL): Adaptively Ordering Transformer Layers at Runtime
- Contrastive Adapter Training and Consensus Knowledge Distillation for Multi-Source-Free Domain Adaptation in Skin Cancer Diagnosis
- Can LLM Agents Be Forward-Deployed Engineers? Requirement Discovery and Delivery for Enterprise Text-to-SQL
- MCP Tool Poisoning in Agentic AI Frameworks: A Cross-Framework Measurement Study
- PlantVLM-Edge: Quantized Vision-Language Models for On-Device Crop Health Diagnosis
- Sonar-MoE: In-Backward Expert Updates for Memory-Efficient Mixture-of-Experts Training
- Evaluating Uncertainty Calibration in Probabilistic Time Series Foundation Models
- Spacetime Emergence in the Memory of a Learning Agent
- Tracing the Scientific Discovery Capacity of LLMs to Their Training Data
- D&A: Decoupling Description and Assessment Enables VLMs as Zero-Shot Robotic Reward Models
- Pixel-UMI: Learning Environment-Aware Whole-Body Manipulation from Sensorized Human Demonstrations
- Pixel: A Co-Designed Full-Stack Robot System for Learning General-Purpose Mobile Manipulation
- Impact of Model Interpretability and Outcome Feedback on Trust in AI
- A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks
- Leveraging generative AI for human understanding: meta-requirements and design principles for Explanatory AI as an emerging paradigm
- Domain size asymptotics for Markov logic networks
- SynBench: A Benchmark for Differentially Private Text Generation
- Calibrated Generative AI as Meta-Reviewer: A Systemic Functional Linguistics Discourse Analysis of Reviews of Peer Reviews
- Surrogate Modeling and Explainable Artificial Intelligence for Complex Systems: A Workflow for Automated Simulation Exploration
- VeriCypher: Named-Entity Verification for GraphRAG via Text-to-Cypher Generation
- ActionFlow: A Pipelined Action Acceleration for Vision Language Models on Edge
- From Structured Graphs to Unstructured Evidence: Agentic Root Cause Analysis on Digital Twins
- Mixture-of-Models: Distributed Inference over Heterogeneous LLMs as Model-Level Mixture-of-Experts
- Health-SCORE: Improving Open-Ended Health LLMs Using Scalable Rubric-Based Rewards
- Dynamic Mixed-Precision Routing for Efficient Multi-step LLM Interaction
- MSP-LLM: A Structured Large Language Model Framework for Inorganic Material Synthesis Planning
- Benchmark Health Index: A Systematic Framework for Benchmarking the Benchmarks of LLMs
- When Should LLMs Be Less Specific? Selective Abstraction for Reliable Long-Form Text Generation
- Instructor-Aligned Knowledge Graphs for Personalized Learning
- MMCOMET: A Large-Scale Multimodal Commonsense Knowledge Graph for Visual Reasoning
- Offline Materials Optimization with CliqueFlowmer
- Bi-directional digital twin prototype anchoring with multi-periodicity learning for few-shot fault diagnosis
- A Self-Evolving Defect Detection Framework for Industrial Photovoltaic Systems
- Hyperagents
- Representational Acquisition Under Bounded Resources
- The Presupposition Problem in Representation Genesis
- WMIP: A Working-Memory-Inspired Programmable Probe of Cumulative State Tracking in Large Language Models
- What Bayesian Updating Presupposes: Hume's Representational Conditions and Causal Learning
- Anthropogenic Regional Adaptation in Multimodal Vision-Language Model
- Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy
- ZenBrain: A Neuroscience-Inspired 7-Layer Memory Architecture for Autonomous AI Systems
- Foundation Models to Unlock Real-World Evidence from Nationwide Medical Claims
- The Circuit Basis of Metacognitive Failure in Language Models: Interference and Hallucination
- Switchcraft: AI Model Router for Agentic Tool Calling
- Can You Break RLVER? Probing Adversarial Robustness of RL-Trained Empathetic Agents
- M$^3$: Reframing Training Measures for Discretized Physical Simulations
- Teacher-Aware Evolution of Heuristic Programs from Learned Optimization Policies
- Automated Reformulation of Robust Optimization via Memory-Augmented Large Language Models
- Isomorphism Is Not Enough: An Agentic Audit of Verified Code Generation in Lean
- When Does Multi-Agent RL Improve LLM Workflows? Workflow, Scale, and Policy-Sharing Tradeoffs
- Anchor: Preventing Artifact Drift for Reliable Agent Verification
- Rubric-Guided Process Reward for Stepwise Model Routing
- SkillDAG: Self-Evolving Typed Skill Graphs for LLM Skill Selection at Scale
- MedCUA-Bench: A Screenshot-Only Benchmark for Clinical Computer-Use Agents
- Can Test-Time Reconstruction Close the Loop on Latent Reasoning?
- Humans' ALMANAC: A Human Collaboration Dataset of Action-Level Mental Model Annotations for Agent Collaboration
- When No Answer Is Correct: Diagnosing Absent Answer Detection for MLLMs in Video Understanding
- Beyond Safe Data: Pretraining-Stage Alignment with Regular Safety Reflection
- Harnessing Agent Skills: Architectural Patterns and a Reference Architecture for Skill-Mediated LLM Agents
- OpenFinGym: A Verifiable Multi-Task Gym Environment for Evaluating Quant Agents
- Be Faithful When Response: Returning Fluent and Grounded Answers for Vision-Language Models Reinforcement Learning
- GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention
- HierFlow: Hierarchical Coupled Dual-Space Search for Automatic Agentic Workflow Generation
- Modeling Social Dynamics with an LLM-Enabled Agent Based Network-Dynamic (LAND) Model
- Solver-Aware Decompositions for Programming-by-Example: When Dividing Requires Knowing How to Conquer
- A/B Agent: A Self-Evolving Agent for Strategy Iteration in Industrial A/B Testing
- Wrong but Useful: Trajectory Value Beyond Answer Correctness in Multi-Agent Messages
- Sanyu Studio: A Multi-Agent System for Art-Historical Narrative Construction
- STAGE: Stateful Translation to Agentic Graph Execution with Policy-Scoped Context and Deterministic Control
- Reinforcement Learning-Guided Evolutionary Policy Optimization for Preference-Adjustable Heterogeneous Agile Earth Observation Satellite Scheduling
- Distance Is Not Enough: Forget-Retain Alignment Gap Predicts LLM Relearning Robustness
- Nested Convex-Body Chasing for Online Optimization with Evolving Feasible Sets
- Constructing and Evaluating Clinical Reasoning Trajectories for Medical Agent
- RAP: Research Attention Prediction in Language Agents
- Map Users and Mapmakers: The Scope of Cognitive Attribution from Acquired Representations
- EvoOntology: A Self-Evolving Ontology Layer for Data Agents
- Who Audits Whom, on What Substrate, with What Evidence? An Independence-Graded Audit Protocol for Agentic AI
- A Survey on the Linear Representation Hypothesis
- Reliability Engineering for AI Systems: Challenges, Methods, and Directions
- WISE-ATTA: When to Ask for Labels in Budgeted Active Test-Time Adaptation
- Aligned Data Can Induce Misalignment via Context Confusion
- Beyond Outcome Rewards: Post-Rationale Distribution Optimization for Selective Prediction in Reasoning Models
- Component Replacement in LLM Agents: A Critical Scoping Review of Task Benefit and Attribution
- Robust Nash Alignment under Preference Uncertainty
- Interpreting at Write Time: A Policy Ablation for Multi-Goal Agent Memory
- From Scientific Observations to Mechanisms: Benchmarking Hypothesis Generation by AI Scientists
- Can the Library Speak? Self-Advertised Method Selection for Formal Proving
- AliO: Output Alignment Matters in Long-Term Time Series Forecasing
- When a Conceptor Complement Becomes Gain: Operator Geometry and Behavioral Attribution in Language Models
- Beyond Equation Search: Conjecture-Guided Discovery with SCOPE and ClosureBench
- SwarmRSI: Recursive Self-Improvement through Evolving Scientific Agent Swarm
- Auditing Escalation Reliability in Healthcare LLM Agents: A Perturbation-Controlled Benchmark of Workflow-State Failures
- RSIFlow: Adaptive Self-Improvement Workflows with an Evolving Meta-Agent
- FAOPs: Normal Forms and an Algebra for AI Agent Workflows
- Stepwise Reasoning Verification: Don't Generate, Classify!
- GraphEvoResearcher: A Cost-Matched Mechanism Analysis of Explicit Reasoning Graphs in Training-Free Self-Reflection
- TimesJev: Thinking Fast on Time Series with System 1 Sufficiency
- REFLEX: RNA Ensemble Generation via Flexibility-Calibrated Stochastic Bridge
- PLE: Physical-Engineering's Last Exam
- PersonaScienceBench: Evaluating Scientific Agents with Diverse Simulated Researchers
- Seeing the Options: What Should a Visual Candidate See?
- Multiscale Policy Optimization for Long-Horizon LLM Agents
- The Trinity: Capability-Driven Recursive Self-Improvement for Multimodal Agents
- Why and How to Do Science When AI Is Better at It: A Framework Grounded in Human Understanding and Direction
- Prototype-Guided Dynamic Domain Modulation and a Large-Scale Multi-SKU Benchmark for Shampoo Bottle Surface Defect Detection
- Encode Once, Answer Many: Internalizing Context via Parametric Flow
- Accelerating Nonlinear MPC by Behavior Cloning with Separated Timescales: Application to Nuclear Reactor Load-Following
- Beyond fabrication: Misattributed numbers in papers written by AI research agents
- Efficient Agentic Audio-Visual Question Answering through Toolset Pruning and Modality Consolidation
- KARMA: Training-Free Knowledge-Atomic Harness Evolution for Industrial Advertising Agents
- Efficient Scalable Oversight via Rewinding
- SAT-ACT: Learning CDCL Branching from Outcome-Derived Action Preferences
- Specification-Guided Generation for Large Language Models
- Radial Kernel Attention for Global Feature Exchange in Polymer Machine Learning Force Fields
- Understanding Certified Training with Interval Bound Propagation
- MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data
- The Interpretable and Effective Graph Neural Additive Networks
- Expressiveness of Multi-Neuron Convex Relaxations in Neural Network Certification
- HierSentNet: Hierarchical Sentiment Analysis Framework for Hate Speech Detection Using Binary and Multiclass Classification
- Smart Surveillance: Deep Learning and Hybrid Approaches for Dynamic Scene Analysis, Object Detection and Motion Tracking
- Large Language Model Guided Self-Debugging Code Generation
- Can Large Language Models Capture Video Game Engagement?
- SQL-o1: Automatic Text-to-SQL Program Synthesis via Self-Reward Heuristic Search
- Speculative Ad-hoc Querying
- Generative Learner for Distributional Causal Effects
- Transferrable Surrogates in Expressive Neural Architecture Search Spaces
- Narrative-Centered Emotional Reflection: An Early Prototype for AI-Supported Emotional Self-Reflection
- Towards General Continuous Memory for Vision-Language Models
- Learning to Charge More: How Q-Learning Firms Lock In Supracompetitive Prices
- The Alignment Illusion: How BadReward Corrupts Text-to-Image Generation
- Tactile MNIST: Benchmarking Active Tactile Perception
- Multi-Scale Spectral Attention Module-based Hyperspectral Segmentation in Autonomous Driving Scenarios
- Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective
- Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges
- A Formal Diagnostic Framework for Graph Repair Systems
- Generative Logic: A Deterministic Reasoning Engine
- RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory
- PrismServe: Efficient LLM Serving on Heterogeneous Accelerator Clusters
- EAvatar: Expression-Aware Head Avatar Reconstruction with Generative Geometry Priors
- SpecPrune-VLA: Accelerating Vision-Language-Action Models via Action-Aware Self-Speculative Pruning
- Agentic Software Engineering: Foundational Pillars and a Research Roadmap
- Functional Critics for Off-Policy Actor-Critic: From Stability to Exploration
- ViSSFlow: Unifying Video-Conditioned Sound and Speech Generation via Joint Learning
- DELTA: Robustly Training Label-Conditional Diffusion Models with Weak Annotations
- AgentTypo: Adaptive Typographic Prompt Injection Attacks against Black-box Multimodal Agents
- A Survey on Agentic Security: Applications, Threats and Defenses
- On the Structure of Stationary Solutions to McKean-Vlasov Equations with Applications to Noisy Transformers
- AuthRank: Scoring Source Credibility to Counter Poisoning in CTI LLM Pipelines
- TempoPFN: Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting
- AQBuc: Air Pollution Forecasting in Bucharest
- MAESTRO: Orchestrating Robotics Modules with Coding Agents for Zero-Shot Generalist Robots
- ScenicProver: A Framework for Compositional Probabilistic Verification of Learning-Enabled Systems
- InTAct: Interval-based Task Activation Consolidation for Continual Learning
- Beyond MACs: Deployment-Constrained Design Space Exploration for Tensorized Neural Networks
- Prompt Less, Smile More: Semantic Engineering in Lieu of Prompt Engineering
- Dual Randomized Smoothing: Beyond Global Noise Variance
- Hierarchy-Aware Multimodal Unlearning for Medical AI
- PerNodeDrop: A Method Balancing Specialized Subnets and Regularization in Deep Neural Networks
- PentestEval: Benchmarking LLM-based Penetration Testing with Modular and Stage-Level Design
- Embedding Consistency Regulation for Persistent Semantic Routing in Compact Language Models
- Beyond Single-shot Writing: Deep Research Agents are Unreliable at Multi-turn Report Revision
- Low-Dimensional Adaptation of Rectified Flow: A Diffusion and Stochastic Localization Perspective
- VoxServe: Streaming-Centric Serving System for Speech Language Models
- Trustworthy Blockchain-based Federated Learning for Electronic Health Records: Identity-Gated Participation against Sybil Attacks
- Sparsely Supervised Diffusion
- Multi-layer Cross-attention is Provably Optimal for Multi-modal In-context Learning
- Learning Molecular Chirality via Chiral Determinant Kernels
- StretchTime: Adaptive Time Series Forecasting via Symplectic Attention
- MoBiQuant: Mixture-of-Bits Quantization for Token-Adaptive Any-Precision LLM
- SparkMe: Adaptive Semi-Structured Interviewing for Qualitative Insight Discovery
- Revisiting RAG Retrievers: An Information Theoretic Benchmark
- Explainability-Aware Evaluation of Transfer Learning Models for IoT DDoS Detection Under Resource Constraints
- Adaptive Bidirectional Task Interaction for Joint Segmentation and Classification of Breast Ultrasound
- How to Peel with a Knife: Aligning Fine-Grained Manipulation with Human Preference
- DARE: Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval
- Benchmarking Language Modeling for Lossless Compression of Full-Fidelity Audio
- WebWeaver: Breaking Topology Confidentiality in LLM Multi-Agent Systems with Stealthy Context-Based Inference
- Sub-Band Spectral Matching with Localized Score Aggregation for Robust Anomalous Sound Detection
- VLM2Rec: Resolving Modality Collapse in Vision-Language Models for Sequential Recommendation
- Thinking in Different Spaces: Domain-Specific Latent Geometry Survives Cross-Architecture Translation
- Latent Algorithmic Structure Precedes Grokking: A Mechanistic Study of ReLU MLPs on Modular Arithmetic
- Fooling Reward Models with Gibberish: Adversarial Examples Beyond the Semantic Regime
- SYN-DIGITS: A Synthetic Control Framework for Calibrated Digital Twin Simulation
- Automated grounding verification of AI statements about chest radiographs
- IndicDBBench - Benchmarking Multilingual Text-to-SQL Capabilities in Indian Languages
- Transition-Matrix Regularization for Next Dialogue Act Prediction in Counselling Conversations
- RaMP: Runtime-Aware Megakernel Polymorphism for Mixture-of-Experts
- AI-Enabled Question-Answering for Chartered Accountancy: A Retrieval-Augmented Reasoning Framework
- Reinforcement Learning with Markov Risk Measures and Multipattern Risk Approximation
- Bolek: A Multimodal Language Model for Molecular Reasoning
- CTM-AI: Evolving Multi-Agent Intelligence Inspired by a Model of Consciousness
- DiffCap-Bench: A Comprehensive, Challenging, Robust Benchmark for Image Difference Captioning
- Text Corpora as Concept Fields: Providing Explainable Groundedness
- Aes3D: Aesthetic Assessment in 3D Gaussian Splatting
- Quantizing With Randomized Hadamard Transforms: Efficient Heuristic Now Proven
- The Weight Gram Matrix Captures Sequential Feature Linearization in Deep Networks
- Pacing Branch Parallelism in LLM Serving
- Toward Optimal Regret in Robust Pricing: Decoupling Corruption and Time
- Understanding, Predicting, and Steering LLM Behavior via Representational Effective Theory
- LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models
- Acceptance Cards:A Four-Diagnostic Standard for Safe Fine-Tuning Defense Claims
- Mobius Injection: From One-Shot Prompt Injection to Sustained Resource Exhaustion in AI Agent Infrastructure
- Trellis: Bringing Compiler-Guided Repair into Agentic Code Generation
- ReLATE: Learning Relative Representations for Post-Hoc Multimodal Alignment
- BESplit: Bias-Compensated Split Federated Learning with Evidential Aggregation
- SAFE-SVD: Sensitivity-Aware Fidelity-Enforcing SVD for Physics Foundation Models
- Efficient Factorized Volume Synthesis with Lifted Inter-Slice Feature Trajectories
- Beyond Isotropy in JEPAs: Hamiltonian Geometry and Symplectic Prediction
- It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs
- Classical State Preparation for Variational Quantum Algorithms via Reinforcement Learning
- Deep learning-based self-supervised detection and localization of magnetic resonance imaging anomalies in artificial intelligence-supported radiotherapy workflows
- A Multi-Instance LLM Framework for Rating the Quality of Surgical Feedback
- Curriculum Learning for Safety Alignment
- Beyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression Detection
- Authenticity Debt and the Synthetic Content Threat Landscape: A Layered Framework for Trust, Provenance, and IP Governance in the Generative AI Era
- Adaptive Auto-Harness: Sustained Self-Improvement for Agentic System Deployment on Open-Ended Task Streams
- Selective Linkage Precision for Released Medical Vision-Language Models
- Improvise, Adapt, Overcome: An On-The-Fly Multifidelity Algorithm for Efficient Machine Learning
- Do Neural Retrievers Prefer Certain Documents? Evidence of Learned Relevance Priors
- A Systematic Analysis of Linguistic Features in AI-Generated English Text Detection Across Domains and Models
- NIV: Neural Axis Variations for Variable Font Generation
- When Evidence is Sparse: Weakly Supervised Early Failure Alerting in Dialogs and LLM-Agent Trajectories
- TRACER: Token ReAssignment for Concept ERasure in Generative Recommendation
- Adversarial Robustness of Activation Steering in Large Language Models
- Reaching Hidden Populations: Generative Frontier Planning for Peer-Referral Recruitment
- GitInject: Real-World Prompt Injection Attacks in AI-Powered CI/CD Pipelines
- JailbreakOPT: Iterative Jailbreak Prompt Optimization with Macro-Action
- Non-frontal face recognition using GANs and memristor-based classifiers
- Proximal Policy Optimization for Amortized Discrete Sampling
- EV9V: An Echocardiographic Video Benchmark with Uncertainty Guided View Classification
- Dual Dimensionality for Local and Global Attention
- B[FM]$^2$: Brain Foundation Model via Flow Matching with SplitUNet
- SWE-Opt: A Benchmark for Evaluating LLMs on Performance-Oriented Repository-Level Optimization
- SpeechEQ: Benchmarking Emotional Intelligence Quotient in Socially Aware Voice Conversational Models
- SemFlowRAG: Directed Semantic Flow from Abstraction to Evidence for Complex Reasoning
- Towards Continual Motion-Language Agents: LoRA Variants for Incremental Motion Understanding and Generation
- Temporary Authority, Permanent Effects: Commit-Time Authorization for LLM Agents
- Scaling LLM Agent Tool Access: The MCP Gateway
- AIGB-R1: Self-Evolving Generative Auto-Bidding via Hierarchical Planner-Executor Optimization
- MOPDA: Mixed-Trajectory On-Policy Distillation for Language-Guided Industrial Anomaly Detection
- Routing Subspaces: Auditing Evaluation-to-Deployment Mismatch in Fine-Tuned Language Models
- ClinFusion: A Vision-Centric Multimodal LLM System for Holistic Medical Understanding
- MediaWiki Code2Code Search: Neural Retrieval for the Semantic Discovery of Open-Source Software Entities
- The Social Cost of an AI Teammate: How an Artificial Teammate Reshapes Human-Human Communication in Small-Team Decision-Making
- Rethinking AI in Medical Imaging: Assumptions, Reality, and Reframing; Towards Physician-Centered Agentic Reasoning
- Reasoning Consensus: Structural Ensembling of LLM Reasoning via Weighted DAG Aggregation
- WaiT for the Signal: Simple Frequency-Aware Flow-Matching
- What Transfers from Text to Vision? Capability Scaling Laws and Transfer Dynamics for VLMs
- Measuring Explainer Stability via Attribution Separability
- A Study of ASR Adaptation and Representation Dimensionality Reduction in Persian Speech Emotion Recognition Using Whisper
- NeuroPilot: An Agent-Driven Smart Pipeline for Processing, Quality Control, and Managing Neuroimages
- EchoRec: Multi-Item Prediction-Empowered Generative Recommendation via Cycle-Consistent Preference Alignment
- Gated Against One Model, Open to the Next: Option-Only Solvability in Legal Multiple-Choice Benchmarks
- Functional compatibility as a determinant of persistent neural learning
- Macro-Operator Generation and Predicate Selection for TAMP Operator Learning
- When Answer Evaluation Misleads Confidence Selection: Fact-Grounded Form Grading for Open-Ended QA
- Sledgehammer or Scalpel? A Fine-grained Adaptive Framework for Implicit Hate Speech Detection
- Cost-efficient Active Learning for Referring Image Segmentation and Grounding
- trajectory-judge: What Outcome-Only LLM Judges Miss on Agent Trajectories
- Cost-Aware Hierarchical Multi-Agent Ransomware Detection and Family Attribution
- Matryoshka Hash Representations for Model-Aware Compact Semantic Retrieval
- Silent Revision: Measuring Undisclosed Change in the Safety Frameworks of Frontier AI Developers
- OntoKG-EQ: Evidence-boundary auditing for analytical knowledge graphs
- Canonical Color as a Lens into Concept Decodability in Vision Encoders and VLMs
- 2AM: Grounding Agent-Side Memory as Guidance for Steerable Action Models in Long-Horizon Manipulation
- Concept-Grounded Reasoning with Prompt-Driven Localization for Interpretable Structured Report Generation
- Using OCR Heads to Verbalize Image Semantics
- A Design-Intent-Preserving Agent Harness for Parametric CAD Modeling
- Bridging Static and Agentic RAG for Taiwanese Historical Question Answering
- Jev for Scientific Decisions: Evaluating Semantic Choices and Their Consequences
- KathDB-FAO: Optimizing Multimodal Queries through Operator Grouping and Code Reuse
- AI-Moderated Interviews for Market Research and Digital Twins Calibration
- SkillDRE: Dual-Stage Red-Team Evolution of Agent Skills via Pre-Execution and Runtime Feedback
- Counterfactual Rollout Replay: Forkable Environments as Free Process Rewards for Software Engineering Agents
- AgentHop: A Diagnostic Benchmark for Agentic Multi-Hop Question Answering over Scientific Citation Graphs
- Proofs Without Nominals: G\"odel's Ontological Argument, its Shallow Embedding, and the Open Questions of the Monatshefte Notes
- Spotter: Let the Embodied Model Lead, and the VLM Reflect for It
- A Proposed Rubric for Evaluating Expressed Clinical Reasoning in Large Language Model Responses
- LENS-GRF: Permutation-Invariant Lesion Evidence Network with Gated Residual Fusion for Acne Severity Grading and Multi-Rater Clinical Oracle Analysis
- CurveCodec 2: Skeleton-agnostic animation compression with a learned entropy model
- Task-Aware Joint Pruning and Distillation for Efficient Audio Deepfake Detection
- NeMo-DCR: Bit-Exact Delta-Compressed Refit for Scalable Agentic RL at Trillion-Parameter Scale
- Hybrid++: The Bridge between PDE Models and Deep Learning for Gamma Noise Removal
- Lower Bounds for Parallel Diffusion Sampling
- Mixture of Layers: Dynamic Layer Routing for Visual Reasoning
- Fast holographic inversion of superconducting domes
- CRISP: Fixing Flying Pixels in Latent LiDAR Generation via Diffusion Decoding
- ProtoSemImage: Image-Valued Prototypes with Deformable Row Alignment for Interpretable Document Classification
- Drafting Agents, Not Just Tokens: Speculative Recursive Self-Improvement for Agentic Systems
- PPAD-Completeness of Contiguous Envy-Free Cake Cutting with Additive Valuations
- Language Models Learn to Improve Language Models
- CIS-Transolver: A Cross-layer Incremental-State Neural Operator for Fine-Scale Automotive Aerodynamic Flow Prediction
- MAS-Guard: Unified Guardrails from Individual Agents to Multi-Agent LLM Systems
- VerifierBench: Benchmarking the Generation of Executable Verifiers for LLM Agents
- Poolwise: Evaluating Reward Models for Selection across Prompts
- LLM-Augmented Agent-Based Simulation of Cyber Social Agents
- Entity-Aware Evaluation of OCR Systems for Historical Document Transcription
- T2D: Target-to-Draft Model Pruning & Adaptation for Efficient Speculative Decoding
- Adapting Video Models for Robot Control via Motion-guided Asymmetric Prediction
- Autonomous fixed-wing interception using reinforcement learning
- Rank-Aware Differentially Private Release of Listwise Preferences for LLM Alignment
- Cassette-Editor: An Agent Harness for Editing Video the Way You Do
- The Role of Quantization in Loss Spikes
- TableTune: Measured, Self-Correcting Draft-Length Tables for Dynamic Speculative Decoding
- Tactus: Tactile & Pose Sensing Glove for Natural Dexterity Data Collection
- Sandman: A Sandbox Service for Production Agentic Reinforcement Learning
- Subquadratic Attention with a Hierarchical Tree-Structured Indexer
- Interpretable structural temperature scaling for calibrating graph neural networks and point-cloud segmentation
- ProLand: A New Infeasible Manifold Optimization Method for LoRA Fine-Tuning
- IsoAlign: Isoform-Aware DNA-Protein Alignment via Joint-Embedding Predictive Architectures
- KINDER: Kernel-based Independence for Fair Representation Learning via Prototype-space Erasure
- OCELOT: Planetary-Scale Species Distribution Modeling with Satellite Foundation Embeddings
- Quantization of Large Models with Weight Outliers and Sparsity
- RaMMOBO: Random Max-Margin Multi-Objective Bayesian Optimization
- Cyber-physical attack detection approaches in the wide-area measurement system
- DEPLOY-RL: Active Boundary Discovery and Conservative Certification for Deployable Reinforcement Learning in Safety-Critical Continuous Processes
- Unlearning by Extrapolating a Shrink-and-Heal Lookahead
- MXCode: Vector Quantization for MX-Native Inference at Scale
- TileWeave: Heterogeneous Tiling for Sparse Prefill on Mobile SoCs
- RankLane: Efficient MoE Prefill on Accelerators with Ranked Expert Capacities
- Do Multimodal Models Decide Consistently on Equivalent Optical Spectra?
- Local Spatial TreeSHAP: Geographically Explainable AI Revealing Urbanization-Dependent Spatial Heterogeneity in Flood Resilience
- Statistical Inference under Performativity: From Policy Feedback to Self-Evolving Systems
- CLiS: Plug-and-Play Attention Acceleration for Video Diffusion on TPUs via Certified Stabilization
- Compositional Self-Improvement: Promises and Pitfalls
- Stochastic learning flow: moment equations for stochastic gradient descent at finite step size
- Ensemble Classification and Cancer-Specific Gene Signatures from Quality-Aware Hybrid Gene Selection in TCGA RNA-Seq data
- Where Causal Discovery Breaks on Real Data: Measuring the Assumptions One Property at a Time
- Integer-Exact Microscaling: Running MXFP4 Language Models on INT8 Matrix Units
- VoirDire: Counterfactual Calibration for Reliable LLM-as-a-Judge Aggregation
- Where Does EEG Help Wearable Freezing of Gait Detection?
- Beyond Blackwell: Constrained Data Processing Inequalities
- Efficient and Scalable Multi-View Masked Autoencoder for Heterogeneous Graph Self-Supervised Learning
- When Does Spatial Cooperation Help? Contamination Regimes in Decentralized Online Spectrum Anomaly Learning
- From Weeks to Hours: Fast and Principled SFT Data Generation for Reasoning LLMs
- TabAbax: A Tabular Foundation Model Technical Report
- Dataset Mismatch Matters in Group Relative Policy Optimization for Reinforcement Learning from Verifiable Rewards
- TVP: TV is Almost All You Need for Speculative Decoding
- Do Orthogonality Constraints Help Language-Model Training Beyond Sphere Optimization?
- ECG2Gene: Deep Learning-Based Germline Tumor Susceptibility Gene Risk Assessment Using Electrocardiograms
- Structural Dual Adaptation for Safe Reinforcement Learning
- Bridging Singular Learning Theory and Mechanistic Interpretability at the Billion-Parameter Scale
- Heirloom: Carrying a Phone's Personalization Across Base-Model Generations
- Inference First, Training Underneath: Layer-Granular LoRA Co-Serving with LayerLoom
- GateTrim: Adaptive-Rank Quantization for Large Language Models
- Versatile Graph Foundation Models from Frozen Time-Series Foundation Models via Parallel Flows
- Generative Forecasting from Coarse-Grained Observations: When Does Cascading Help?
- Shaped by What's Missing: Topological Invariance Simplification Discovers Behavioral Transitions
- Uncertainty Aware Quality-Diversity Optimization For Offline Biological Sequence Design
- Learning hidden-state dynamics from unpaired snapshots with lift-project SDEs
- PeptSol: A Translational Benchmark for Protected-Peptide Solubility in Drug Manufacturing
- The Tangled Web They Weave: Exploring Neural Representations with Directed Simplicial Complexes
- Tight Stochastic Sequential Covers for General VC Classes with Unknown i.i.d. Features
- Crop Mapping Evaluation under Sampling Bias
- Private Uniform Language Generation
- Streaming Virtual Metrology via Lightweight Adaptation under Temporal Distribution Shifts
- HamFormer: A Hamiltonian Flow-based SE(3)-Transformer for Conformation Optimization
- Foresight: Learning Twisted SMC for Rare Events from Reversed Relaxations
- Benchmarking Classical Machine Learning Models for Shading-Fault Detection in Rooftop Photovoltaic Systems Using Real Sensor Data
- What matters in classical machine learning for non-intrusive load monitoring? A factorial benchmark on REFIT with validation on unseen houses
- Solvable dynamics model of in-context learning
- ISBC: Interpretable Sparse Binary Coding of Pretrained Text Embeddings
- Jet-QSparse: Accelerating Agentic LLM Inference with 4-Bit Sparse Attention
- Hierarchical Asynchronous Federated Learning over Space-Air-Ground Integrated Networks
- ParaBlock++: Communication-Computation Parallel Blockwise Hierarchical Federated Learning
- Entropy-Regularized Reinforcement Learning for the Regime-Switching Consumption-Investment Problem
- Infinite Worlds from One Example: What Local Generators Must Share
- Efficient Conformal Calibration for Paired Recommendation Decisions
- On Sparse Graph Limits for Neural Combinatorial Optimization
- Synergetic Autonomous Intelligence: Three Axioms for Recursive Semi-Closed Learning
- Change the Funnel, Not Who May Submit: Engineering Peer Review for the Flood
- Multi-Turn Semantic Caching for Low-Cost LLM Serving
- Scute: Exact Batched Serving for PEFT Adapters Beyond LoRA
- Mitigating Catastrophic Forgetting in Task-Free Federated Continual Forecasting via Two-Tier Replay under Concept Drift
- Zero-Gated Cross-Attention
- TRIAGE: Reliability- and Load-Conditioned Escalation for Two-Tier LLM Serving with a Semantic Evidence Judge
- Fast and Exact Relative-Position Attention via Structure-Aware Kernels
- Zeroth-Order Policy Optimization for Scheduling in Queueing Networks
- GraCo: A Unified Toolkit of Graph Coarsening Algorithms and Metrics
- A Batched Hartigan's $k$-Means Clustering
- Learning What to Ask and What to Believe: Distilling a Variational Bayesian Agent into Language Models
- Does Random Search Discover Task Experts? Revisiting Neural Thickets
- Learning momenta for Hamiltonian-based models
- Geometry of Confabulation and Refusal in Small Language Models
- Best-of-Both-Worlds FTRL for Linear Bandits: The Interplay of Information Acquisition, Corruption, and Geometry
- Accelerating posterior sampling in Bayesian inverse problems with diffusion models: an online-offline perspective
- When Does Exploration Prevent Collapse? Three Regimes and the Path of the Reward in Self-Consistency Training
- AgentCBO: Causal Belief Routing for Bayesian Optimization under Unknown Graphs
- Inferring missing locations in human mobility data using memory effects
- Alignment Flywheel-Guided Suppression Patching for Interactionless Inverse Reinforcement Learning
- Same Function, Different Mechanism: Implementation-Local Geometry Beyond Accuracy
- Profile-aware diagnostics of discarded parameter-Hessian mass
- MoEDDI: Semantic Mixtures of Experts for Long Tailed Drug Drug Interaction Prediction
- Unified dynamics of training, learning, inference, and reinforcement in neural networks
- MAPLE: A Multimodal Mobile Agent with Playbook-Learned Experience
- FACET: Feasibility-Automaton Complete Enumeration and Truncation-Free Scoring of Molecular Formulas from MS/MS
- Learned Surrogates of Three-Dimensional Magnetohydrodynamic Turbulence
- State-Augmented Learning for Post-Deployment Adaptation of Coexisting O-RAN Applications
- Sensitivity Inflation from Cross-Record Precision Routing in Private Quantized Fine-Tuning
- Uncertainty-Aware Joint Generative Modeling of Fault Event Sequences and Sensor Time Series in Solar PV Plants
- When Should an Agent Refresh? Adaptive Index Reuse for Efficient Long-Horizon Reasoning
- Correctness and Predictive Uncertainty in Bayesian TSK Fuzzy Regression: A Reproducible Evaluation on Tabular and Building-Meter Data
- Causal Optimal-Transport Attention: Positional Priors and Length Extrapolation
- Abstention Spends Its Budget on Local Label Variance More Than on Novelty: Auditing Conformal Calibration and Selective Prediction under Molecular Scaffold Shift
- InformedXRD: Reproducible Benchmarks and Physics-Informed Evaluation for Powder Diffraction Symmetry Classification
- Learning Gradients of Homogeneous Functions
- Beyond Validation Loss: Coverage and Reliability Dynamics in Robot Policy Pretraining
- Sonny-ENS: demystifying machine-learning ensemble weather forecasting
- LLM-Enhanced Multimodal House Price Prediction using Structured, Textual, and Visual Features
- Yielding Fairness: Coupled Learning and Fairness for Value-Weighted Ranking
- Near-Optimal $\sqrt{K}$-Regret for Online Learning in Uninformed Markov Games
- Physics-Informed One-Step Generation on Long-short flow maps
- Stand-In Effects and Pooling Amplification: Design-Based Tests of Whether Biological World Models Use Actions
- Direct Covariance-to-Beamformer Mapping for Low-Latency Hybrid ISAC Beamforming with Subsequent DoA Estimation
- SparseLift: Automatically Optimizing Opaque Sparse Paths in Industrial-Scale Recommendation Model Training
- Comparative Strategies for Handling Imbalanced QSAR Regression: A Case Study on hERG Activity Prediction
- When Disagreement Labels Do Not Identify F1 Rankings
- A sensor-driven physics-informed neural network for real-time occupant-centric space heating control
- How Does Chain-of-Thought Supervision Teach Models to Reason? A Theoretical Analysis
- A Deep Reinforcement Learning Framework for Real-Time Electric Vehicle Charging Management in IoEV-Enabled Smart Cities
- ReCoG: Relative Node Contexts for Multi-Domain Graph Pre-training
- Spectral Signatures of Memorization Basins in Diffusion Trajectories
- ReFrame: Silence-Aware Compute Reclamation for Full-Duplex Speech Models
- Missingness-Aware Prior-Data Fitted Network for Irregular Clinical Time-Series
- The (Butter)fly Dream: Linear Separability of World-Model Rollouts in a Connectome-Constrained Visual Model
- A Self-Generated Floor on Adam's $\varepsilon$: Evidence from Power-Law Matrix Sensing
- Robust Remote ECG Monitoring under Energy Constraints: Anomaly Filtering versus Predictive Uncertainty
- Watch Your Step: Adam's Margin Maximization Bias Depends on the Learning Rate Schedule
- ReWY: Faster Gradient Computation for Delta-Rule Attention Family
- Large-Scale Bayesian Optimisation Using Uncertainty-Calibrated Product-of-Experts Gaussian Process Models with Trust Regions
- MIRA: Mutual Information guided calibration for Reliable Test-Time Adaptation
- Uncertainty-Aware 3D Position Reconstruction in CZT Drift-Strip Detectors
- SensOFormer: Foundation Models for Particle Accelerators
- Scalar Smoothness Is One Point on a Besov Spectrum
- ECGJev: Question-Conditioned Option Scoring for 12-Lead ECG Interpretation
- METER: Matched-Event Calibration for Short-Event EEG Microstate Transition Analysis
- Same Function, Different Gradients: Evaluating Gradient Reliability under Reparameterization
- Fragility Is Not Reducible to Hardness: Conditional Causal Difficulty for LLMs
- Large Geometry Models Are Priors For Fast Physics Pretraining
- Bernoulli On-Policy Distillation: Don't Ignore High-Confidence Student Tokens
- NorthCUA Technical Report: Turbocharging Computer-Use Agents through Experience at Scale
- Order-Only On-Policy Distillation
- Conditional Calibration Contracts under Coupled Load: A Branch-Aware Audit of Switched Inference
- Mesh2Shell Neural Operator for Inverse Shape Optimization
- TSSDA: An Autonomous Agent for Constructing a Time-Series Text-to-SQL Benchmark
- When Is Personalized Federated Learning Worth Its Deployment Cost?
- Restrained Diffusion Bridges: Targeted Denoiser Training and Refinement
- Beyond Unit-Circle Eigenvalues: Invariant Bases for Stable State Space Dynamics
- Fuzzy-Enhanced Machine Learning Approach for Type 2 Diabetes Diagnosis
- Who Should Score the Cache? Mid-Depth Layers Are the Best Judges of KV-Cache Eviction
- Nonreciprocal Spherical Attention and Retrieval: Sharp Coarsening Clocks and Certified Score Correction
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- Learning the Entropic Relaxation: Stable Coarse-Grid Emulation with Neural Discrete Equilibrium
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- SpecPilot: Autonomous Algorithm Discovery and Systems Optimization for Speculative Decoding
- RLVR Sharpens the Pencil, Not the Mind
- Beyond $L_\infty$-Norm Sets: Synthesizing Interpretable Non-Uniform Uncertainty Sets for Evaluation-Time State-Adversarial Robustness
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- Evolving Explanations: Complexity-Adaptive Refinement of Faithful Explanations for Symbolic Regression
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- Feature extraction for LSTM-based finger-joint angle estimation from sEMG
- Beyond Monotonicity: Stochastic Online Optimization under Semi-Bandit Feedback
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- Iterated Narrow Networks: Turing Completeness at Width 4 on Convex Input Spaces and the Complexity of Verification
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- TensorLOB: Structure-Preserving Tensor Learning for Limit Order Book Forecasting
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- Extending Aircraft Coverage of the Poll Schumann Model Using Public Data
- A Universal Policy Wrapper With Guarantees
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- Unimodal Augmentation-based SSL Objectives Induce Cross-Modal Alignment
- ILR-SMO: Iterative Latent Refinement for Robust Spatial Multi-Omics Integration
- Exact Fusion of Softmax Attention Heads Can Require Exponentially Many Atoms
- SHq: Learnable Grids for LLM Weight Quantization
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- The Tower of Babel in artificial intelligence: who should speak, and when it pays to listen
- Improved regret bounds in tabular RL under local differential privacy
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- Optimal Subgroup Discovery at Every Support Threshold
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- CISA: Retrofitting Dense Attention Models with Chunk-Indexed Sparse Attention
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- The Cost of Mismatch: Noise Amplification in Zeroth-Order Reinforcement Learning
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- ENGINE: Endogenous Variational MultiScale Optimization for Zeroth-Order LLM Fine-Tuning
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- FLAMIA: FLAsh MIcroscaling Attention for Fast and Causally Safe Training on Blackwell
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- RangeFinder: Predicting Ligand Property Ranges from Protein Pockets
- A Geometry-Informed Neural Operator surrogate of LISFLOOD-FP for rapid pluvial-fluvial flood forecasting: the case of Forl\`i, Italy
- Low-Rank Clebsch--Gordan Coupling for Equivariant Spherical Forecasting
- Finite-Memory Control of POMDPs: Fundamental Limits and Efficient Design
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- A Living Leaderboard for Graph Machine Learning
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- Online Class Posteriors for Interpretable and Controllable Discrete Diffusion
- Unrolled gradients in disguise: bridging interpolation-based and Jacobian regularization for stable neural dynamics
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- A Hybrid Visitor Prediction Framework using Interpretable Temporal features, Integrating IQR and Anomaly Detection in Lakes in Nebraska
- ST-GFM: Spectral-Temporal Graph Forecasting with Measured Perturbation Bounds and Masked Spectral Reconstruction
- RASP: Read-All, Sparse-Plasticity Continual Learning in a Stationary-Size LoRA
- Ask, Don't Equip: Question-Driven Coding Agents for Deep Kernel Optimization
- Variational Functional Neural Networks (vfNN)
- BISECT: Bilevel Spectral Decomposition for Low-Rank Continual Learning
- A Scaling Theory of Multi-Epoch Pretraining: Late-Time Overfitting and Ensembling
- DynaSolver: A Neural Operator for Autoregressive 4D Flow Prediction with Dynamic Boundaries
- Should We Combine Our Data? Algorithms and Limits for Privately Assessing Data Sharing
- Efficient Closure Learning in Dynamical Systems: A Comparison of Data-Assimilated and Embedded Approaches
- Benchmark Prediction with Sparse and Unpaired Cached Responses
- Thought-deciphering via hierarchical EEG-to-text alignment
- FADE: Factored Ability--Difficulty Filtering for Online RLVR Scheduling
- Not All Reasoning Generalizes: A Case Study on Learning Generalizable Reasoning Strategies in RLVR
- Pretraining Data Scale Reverses the Muon-AdamW Fine-Tuning Gap
- Neonatal EEG Seizure Prediction with Quantum Inspired Continuous-Variable (Bosonic) Reservoir Computing
- Omni-iEEG Planner: an open-source Python platform integrating multimodal neuroimaging and intracranial EEG data for epilepsy surgery research
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- Covariance-aware Scoring: A Geometric Correction for Vision-Language Test-Time Adaptation
- Deep Learning for Detecting Building Setback Rule Violations in Urban Planning: A Case Study on Bangladesh
- Diagnosing Zero-Shot Forgetting in CLIP Fine-Tuning: Attention Drift Characterizes Adaptation, Representation Drift Predicts Transfer Degradation
- Background Bias Assessment and Mitigation in Plant Disease Detection Using EfficientNet-B0 with Image Processing
- SIMIT: Self-Improving Vision-Language Models via Imagination at Test-Time
- Auditing GeoFM Evaluation for Field-Extent Segmentation: Label Proxies, Baselines, and When Frozen Features Match Fine-tuning
- DDEL: Closed-Loop Mutual Enhancement of Dataset Distillation and Ensemble Learning
- CarDiff: Anatomically Aware Dental Caries Synthesis using Diffusion
- AdaptAD: Foundation Model Adaptation with Missing Modality Robustness for Alzheimer's Disease Staging Across the Disease Continuum
- SCRAMJet: An Ultra Low Latency JetClass-Scale Transformer for the HL-LHC Level-1 Trigger
- Dynamic Merging Mutually-Distilled Multi-View Networks for RGB-Event-based Representation Learning
- Inverse modelling of a laser-plasma accelerator
- SpatialVec: A Unified Representation Learning Framework for Geospatial Objects with Boundary-Aware Sampling
- FlowFPR: Flow Matching Prior for Oversampled Fourier Phase Retrieval
- The Prior-Force Family of Implicit Denoiser Priors and Its Decisions in Linear Inverse Problems
- CAPER: Circuit-Aware Parameter-Efficient Reasoning in LLMs for Analog Verification
- OPINE: Orthogonal Projection in Invertible Nonlinear Embeddings for Turbulent Flows
- Localized anomaly detection with a calorimeter normalizing flow
- Model Collapse Is Avoidable Even as Real Data Vanishes: A Sharp Criterion for Iterative Gaussian Estimation
- The Rise of Low Precision Floating Point
- Transformer-Based Reinforcement Learning for Phase I Dose Allocation
- VESPER: Online Learning of Free Energies with a Multi-Tempered Variational Objective
- Spoofing the Latent State: Imperceptible Goal-Image Attacks Derail Planning in LeWorldModel
- SpBench: An Agent-Native Framework for Cross-Engine Lakehouse Benchmarking
- The Continuum Limit of the Deep Linear Network
- Weights That Stay: On-Chip Megakernels for Serial Heads in Speculative Decoding
- Behavioral Steering of Vision-Language-Action Models in the Low-Parameter Regime
- BitLLM: Efficient Low-Bit, Conversion-Hiding LLM Decoding on Mobile GPUs
- Can agents reliably design therapeutic antibodies?
- Roz: A Taste Test for World Model Latents
- From Confounding to Counterfactuals: A Cross-Layer Causal Model for RAN Scheduling
- ElectroChemLLM: A Multimodal LLM Pipeline for High-Fidelity Electrochemical Informatics
- Representative Learning for Distributed Support Vector Machines
- Regularized Wasserstein Distance for Discrete Generative Modeling and Clustering Analysis
- Audit at the Precision You Deploy: Quantization Reshapes a Subliminally Learned Preference
- ALDER: A Single-Loop Augmented-Lagrangian Damped Extragradient Method for Nonconvex--Concave Minimax Problems with Nonlinear Coupled Constraints
- Boosted Physics-Informed Neural Networks for Solving Homogeneous and Non-Homogeneous Lane-Emden Type Equations
- Personalized Rollout Allocation for Federated LQR Policy Optimization under Heterogeneous Process Noise
- Adversarial Robustness Is Not Zero-Day Generalization: A Controlled Evaluation of Flow-Based Intrusion Detectors on Corrected CIC-IDS2017
- Adversarial robustness does not entail human-aligned categorization
- Pricing Today, Shaping Tomorrow: Contextual Dynamic Pricing in Purchase-Driven Evolving Systems
- Model-Based Learning of Latent Euclidean Embedding from Relational Data
- Sampling Design and Confidence Tubes for Integral Curves on Riemannian Manifolds
- Unbiased Low-Rank Approximation for Repeated Matrix-Vector Multiplication: Stability and Optimal Sampling
- ODC: Orthogonal Drift Correction for Improved Text-to-Image Semantic Alignment at Inference
- Answer Correction with Verifiable Rewards: A Gemma-Family Study of Multi-View Driving QA
- Fewer Tokens, More Answers: Verifiable-Reward Tuning of an Ornith-Style VLM for Multi-View Driving QA
- Adaptive-Policy Distillation: Knowledge Injection under Information Asymmetry
- What Breaks and What Comes Back: Capability Damage and Recovery in Depth-Pruned Small Language Models
- Bootstrap Inference for Riemannian Optimization Problems
- Riemannian Newton Methods with Statistical Inference
- Optimal Learning in Fairness-Aware Contextual Bandits
- HALO: Hierarchical Evidence Selection and Reinforcement Learning for Allocating Budgeted Label Optimization from Longitudinal Clinical Records
- Robust Pixel-wise Digital Image Correlation under Large Motions and Illumination Variations via a Global-to-Local Hybrid Neural Field
- Trouble With Time: Compile Timestamps and First-Seen Date Regression in EMBER2024
- Forecasting Visitor Demand from Open AI-Camera Counts and Weather: Lessons from Japan for Saudi Heritage Sites
- Self-Normalized Inference from Riemannian Stochastic Gradient Paths
- pico-WAM: Evaluating Counterfactual Prediction and Planning Error in a Compact World Action Model
- How Close to the Theme? Similarity-Label Conditioning for Game Music Generation
- Adaptive Land Units from Earth Embeddings
- VeilFL: Two-Stage Accountability for Anonymous Federated Learning
- Digital Twin-Assisted Fast Beam Alignment for mmWave MIMO Networks
- Do Earnings Calls Help Predict Financial Restatements? Evaluating Text Beyond Public Firm Information
- Lower Bounds on Inference Complexity for Polyak-Ruppert Averaged Stochastic Gradient Descent
- Online Autotuning of Algebraic Multigrid via Contextual Bandits and Reinforcement Learning
- Adaptive Optimizers Can Get a Policy Ranking Wrong: Momentum, Dependent Data, and a Two-Run Remedy
- Reproducing INP-Former: Reconstructing Intrinsic Normal Prototypes for Industrial Anomaly Detection
- [Re] Pure Noise to the Rescue of Insufficient Data
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- Hidden selection rules and amplitude ceilings in quantum Fourier models
- Infinite Quantiles Inference under Local Differential Privacy
- Information-Theoretic Design of Sparse Autoencoder-Based Steering
- Benign population landscapes do not transfer to empirical risk minimization in nonsmooth optimization
- Same Path, Less Time: Training-Free Fast Execution of Vision-Language-Action Models under Inference Latency
- FlyWheel: Attention Kernels Built for the TPU
- Towards Fine-grained and Robust Detection of Human-AI Co-authorship
- Polynomial-Time Minimax Prediction for Stationary Renewal Processes
- CipherFlow: Compiling AI Programs for Efficient Cryptographically Secure Inference
- A Surrogate Model for Variation-Aware Clock-Mesh Analysis and Design-Space Exploration using Graph Neural Networks
- TopoSteer: Topological Layer Selection for Activation Steering in LLMs
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- Surrogate Losses for Fairness-Aware Classification: Fisher Consistency and Calibration
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- BanglishDepYT: Depression Detection in Native Bengali Social Media with Emotion-Preserving Preprocessing and Domain-Adaptive Pretraining
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- Leveraging 2D Foundation Priors for Generalized Category Discovery under Test-Time Adaptation in 3D LiDAR Segmentation
- SEALECT: Scene-Conditioned Pose Priors for Plausible Maritime Vessel Retrieval
- Beyond Imputation: Mask-Adaptive Conformal Prediction via Tree Embeddings on General Missing Data Mechanisms
- CacheWeave: Learning to Recompute for Efficient Position-Independent KV Caching
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- Efficient Lempel-Ziv Prediction with the Run-Length BWT
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- Seeing Why: Exact Evidence Maps for Quantum and Optical Image Classifiers
- Reinforcement Learning in High-Energy Physics: A Survey from Accelerator Control to Theory Exploration
- Rare Event Constrained Reinforcement Learning with Large Deviations
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- Black Hole Love Numbers with Physics-Informed Neural Networks
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- CNN-Based Retinal OCT Classification: Research Gap Analysis and a From-Scratch Baseline, ED126-A
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- On Stochastic Continuous-Time Linear System Identification for Adaptive Stabilization
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- Evaluating Synthetic Skin Lesion Images for Classifier Training: A Safety-Aware Algorithm
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- On the Convergence of Alternating Regret Matching Algorithms
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- Control Foundation Models across Changing Block Diagrams: Generalizing Time-Series Prediction to Dynamic Graphs
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- Progressive Multi-Scale Super-Resolution via Cascaded Bicubic Anchors and Inter-Scale Mutual Refinement
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- CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model
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- LEAF: Language-EEG Aligned Foundation Model for Brain-computer interfaces
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- Guiding Distribution Matching Distillation with Gradient-Based Reinforcement Learning
- EvoTSC: Evolving Feature Learning Models for Time Series Classification via Genetic Programming
- Online Bayesian Calibration under Gradual and Abrupt System Changes
- StreamPhy: Streaming Inference of High-Dimensional Physical Dynamics via State Space Models
- AutoSINDy: Discovery of Nonlinear Dynamics with Automated Library Construction
- Dystruct: Dynamically Structured Diffusion Language Model Decoding via Bayesian Inference
- TrajDLM: Topology-Aware Block Diffusion Language Model for Trajectory Generation
- Generalization Error Bounds for Picard-Type Operator Learning in Nonlinear Parabolic PDEs
- MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image
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- RePercENT: Scaling Disentangled Representation Learning Beyond Two Modalities
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- Advancing Open and Reproducible Relational Learning: RelArena-$\alpha$, TabPFN-Rel and RPI
- On the Indistinguishability of Human v/s AI Generated Text
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- G-NAC: Graph Neural Automata Clustering via Emergent Domain Formation
- HARN: Hierarchical Associative Resonance Network for Event-Driven Multi-Timeframe Forecasting
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- ASTRA: ADMM-Accelerated Topology Reconfiguration for Dynamic Satellite Constellations
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- H-JEPA: End-to-End Learning of Hierarchical World Models for Visual Planning
- SPIN: Shadow Predictive Indexer for Sparse Attention
- Cross-Behavior Policy Optimization: Unified Learning from Offline Demonstrations and On- and Off-Policy Rollouts via a Shared Regression Target
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- Learnable Hodge-Laplacian Driven Mixture of Experts for Steady-PDE Surrogates on Coarse Unstructured Meshes
- Spectrum Is Not Enough: A Random-Matrix Account of Data-Free Preconditioning for Differentially Private Learning
- Certifiable inversion of resampling-induced spectral distortion in high-dimensional particle filters
- Stochastic optimization methods through statistical whitening
- Compositional neural networks for multimodal X-ray and neutron scattering inversion
- Joules-to-GDP: How Much Economic Value Do AI Systems Produce per Unit of Energy?
- Transformers with CoT Discover Heavy-Ball Acceleration Through Training
- RadonBench: A Benchmark of Classical and Learning-Guided Search Techniques for Problems in Combinatorial Geometry
- Tree Depth and Sample-Quality-Associated Features: Two Hidden Factors in Boruta Selection for RNA-Seq Data Classification
- Gaussian Approximation for Composition and Subsampling of Differentially Private Algorithms
- Simulated petrological labels enable probabilistic mineralogy prediction from whole-rock geochemistry
- Para-Gaussian Approximations of Random Deep Neural Networks
- B2P-Corr: Batch-to-Population Gradient Estimators for Non-Decomposable Correlation Losses
- NAGO: Noise-Aware Generative Operator via Flow Matching
- Causal Attention on CPU: A Cache-Aware and Load-Balanced Scheduling Kernel for Prefill
- Possibility-based Inference: A Deterministic Framework for Robust and Reliable Uncertainty Quantification in Decision-Making
- D-MOD: Diffusion mode estimation for accelerated MRI
- Causal-prior-constrained deep learning for rapid-intensification warning of western North Pacific tropical cyclones
- SPT-Flow: One Integration, Many Futures in Continuous-Time World Models
- Generated storm lifecycles fill the rare-event tail of short rainfall records
- Attention-Based Multiple Instance Regression for Remote Sensing
- Storage and Learning phase transitions in the Random-Features Hopfield Model
- Over-fitting Control in Deep Nonlinear Matrix Completion via Gradual Nonsmooth Regularization
- A Novel Approach to Chest X-ray Lung Segmentation Using U-net and Modified Convolutional Block Attention Module
- A SPIDER-type stochastic subgradient method for expectation-constrained nonconvex nonsmooth optimization
- A Generalized Tangent Approximation based Variational Inference Framework for Strongly Super-Gaussian Likelihoods
- Quantum Feature Space of a Qubit Coupled to a Classical Stochastic Environment
- HandReader: Advanced Techniques for Efficient Fingerspelling Recognition
- Solving Stochastic Inverse Problems in Embedding Space
- Statistical Machine Learning for Astronomy -- A Textbook
- Global Convergence of Iteratively Reweighted Least Squares for Robust Subspace Recovery
- How Safe Are AI-Generated Patches? A Large-scale Study on Security Risks in LLM and Agentic Automated Program Repair on SWE-bench
- OpenSR-SRGAN: A Flexible Super-Resolution Framework for Multispectral Earth Observation Data
- Predicting Time-Dependent Flow Over Complex Geometries Using Operator Networks
- Inference for Batched Adaptive Experiments
- Mask-Conditional Conformal Prediction: Valid Uncertainty For All Missing Data Mechanisms
- Inference-Time Alignment for Diffusion Models via Variationally Stable Doob's Matching
- Tune-Up Open-Weight CLIP: Optimization Framework for Self-Supervised Fine-tuning of CLIP
- Transfer Learning Through Conditional Quantile Matching
- Variance Reduction Based Experience Replay for Policy Optimization
- Deep Bootstrap
- Learning to Build: Autonomous Robotic Assembly of Stable Structures Without Predefined Plans
- Probing the Limits of the Lie Detector Approach to LLM Deception
- OmniGuide: Universal Spatial Guidance Fields for Enhancing Generalist Robot Policies
- Walma: Learning to See Memory Corruption in WebAssembly
- On the Reliability Limits of LLM-Based Multi-Agent Planning
- Stochastic Generative Plug-and-Play Priors
- AttnDiff: Attention-based Differential Fingerprinting for Large Language Models
- Empirical Ciphertext Distinguishability Testing of KEMs and Hybrid Encryption via Deep Learning
- A Kernel Nonconformity Score for Multivariate Conformal Prediction
- Accelerating New Product Introduction for Visual Quality Inspection via Few-Shot Diffusion-Based Defect Synthesis
- Validity-Gated Evaluation of Multimodal Machine Unlearning
- Spatial-Temporal Learning-Based Distributed Routing for Dynamic LEO Satellite Networks
- Capacity-Aware Multi-UE Handover Optimization for LEO Satellite Networks Using Dueling DDQN
- Muon with Nesterov Momentum: Heavy-Tailed Noise and (Randomized) Inexact Polar Decomposition
- Flow Matching for Count Data
- MedFL-Stress: A Systematic Robustness Evaluation of Federated Brain Tumor Segmentation under Cross-Hospital MRI Appearance Shift
- PGID: Progressive Guided Inversion and Denoising for Robust Watermark Detection
- Real-time virtual circuits for plasma shape control via neural network emulators
- Conditioning Gaussian Processes on Almost Anything
- Theoretical guidelines for annealed Langevin dynamics in compositional simulation-based inference
- Lifted Schr\"odinger Bridges for Gaussian Mixture Endpoints: Projection Gaps and Path-Space Obstructions
- RogueMerge: Robust and Unified Attacks against LLM Model Merging
- Activation-Based Active Learning for In-Context Learning: Challenges and Insights
- Querying Counterfactuals on Tissue Graphs with Supervised Disentanglement
- It\^o maps for any-step SDEs
- The program is still there, and searching for it obeys a conservation law
- AoiZora: Compiler-Agnostic, Placement-Aware Auto-Parallelization for Video Diffusion Transformers
- Mean Field Reinforcement Learning: Theory and Algorithms for Mean Field Control
- Is the Geometry Doing the Work? An Operating-Point Audit of Hierarchy in Hyperbolic Vision-Language Models
- Mixture of Probes: Learning from Privileged Modalities in Multimodal LLMs Through Probing
- Dynamics-Aware Meta-Imitation for Generalization to Unseen Robotic Manipulation
- Machine-Learned Compact Subspace Generation for Quantum Selected Configuration Interaction within Density Matrix Embedding Framework
- Community HydroAgent: Formalizing Forecaster Expertise into Skill-Orchestrated Flood Forecasting Workflows
- Kernel Ridge Regression over H\"older Classes: Function and Derivative Losses
- AgentSnare: Learning to Delay, Divert, and Defuse Autonomous Web Penetration Agents
- Consilience for Verifier-Free Test-Time Scaling
- Offline Deep Q* Estimation with Diffusion Models
- SAUSS: Stochastic Approximation with Unbiased Simulated Scores for Limited Dependent Variable Models
- Item-Mean Surrogates: Why Richer Personas Fail to Deliver Individual Fidelity in LLMs as Human Surrogates
- The Price of Intelligence: A Quality-Adjusted Price Index for AI Services
- Minimax Rate for Diffusion-Guided Local Intrinsic Dimension Estimation based on Fokker-Planck Equation
- The Platonic brain bridge hypothesis: brain networks as architectural priors for multimodal large language models
- Low-Rank Denoising for Predict-then-Optimize
- Domain-decomposed Evolutional Deep Neural Network with Random Features for Transient Pressure Diffusion with Discontinuous and High-Contrast Coefficients
- Conformal Bayes under Continuous Label Shift: Sensitivity Analysis and the Limits of Exact Validity
- Learning a Flow to Self-Supervised Representations
- Nonparametric In-Context Learning under Growing Geometric Complexity: Minimax Optimality and Local Geometry-Adaptivity of Transformers
- Learning Steadily: Accumulating Relative Point Margin Scores for Face Image Quality Assessment
- Schr\"odinger--F\"ollmer Actor--Critic: Diffusion Policy Improvement with Finite-Sample Analysis
- Component-Weighted Centroid Search for Exact Incremental BPE
- Lower Bounds for Stochastic First-Order Algorithms with Variance Reduction in Nonconvex--Concave Minimax Optimization
- Dynamic Quadtree Tokenization and Transformer for Adaptive Mesh PDE Forecasting
- Mosquito acoustic identification at unseen recording sites: practical limits of common transfer remedies for vector surveillance
- Learning qBIC Resonances across Metasurface Families in Dielectric Fourier Space
- Subspace Uncertainty and Sharp Sampling Thresholds on the Boolean Cube
- ATTUNE: Agentic Throughput Tuning for LLM Training
- A Phenomenology of Neural Geometry in Vision-Language-Action Models
- SALE: Source-Aware Dynamic Pricing with Strategic Buyers
- A general recipe for data-adaptive anytime-valid envelopes for iterative algorithms
- Ask to Learn: Query-Based Collaborative Reinforcement Learning
- Backtracking Direct, Indirect and Total Effects
- When Human Corrections Travel: Safety in Federated VLA Adaptation
- Measure Before You Train: Typed Decision Models vs. a Classical Baseline vs. a Generative LLM for Routing a Personal Multilingual Inbox
- On the Error Analysis of Triangular Transport Maps for Conditional Generation via MMD-based Objectives
- An Agentic AI Workflow for Liver Lesion Segmentation and Structured Radiology Reporting
- Causal DAG-Guided Reinforcement Learning for Long-Term Physical Activity Maintenance: Using Prior Data to Inform Future Deployment
- GearUp: DAG-aware Acceleration for Serverless Inference Serving via Slack-guided Pre-loading
- A Witnessing Duality for ReLU Network Depth
- Zero-Complement Extrapolation: Parameter Recovery and Classification in Severely Imbalanced Logistic Regression under Rank-Deficient Regimes
- Li$^{2}$SAO: Lifting Light Single-Rollout Asynchronous RL Optimization via Group-Relative Actor-Critic Bootstrapping
- Claude for Excel is Transformative for Basic Spreadsheet Modeling and Analysis
- Software Change Request in AI-Orchestrated Software Evolution: Literature Review and Research Agenda
- Hardware-Aware Conditional Code in Android Apps
- Autoformalization for Ambiguous Inputs: Precision, Coverage, and Cost across SQL and Logical Forms
- DERED: Enhancing Third-Party Library Detection in Binaries via Deceptive Reuse Mitigation
- AgentPRO: Coordinating Compiler Optimizations for LLM Agent Workflows
- The Testability Gap: A Pre-Registered Census of Naming versus Implementation in 59 Cognitive-Architecture LLM Systems
- Characterizing and Predicting the Longest CI Builds in Machine Learning Projects
- Verification-Gated Redraw and Repair for Local Small Language Models: A Paired Evaluation
- From Stories to Bugs: Story-Based Semantic Fuzzing of Interactive Systems
- Do Coding Agents Catch Their Own Bugs? (They Don't.)
- A Domain Driven Design Based Reference Architecture for IoT Systems Engineering
- AdapBench: Adaptive Early-Stopping and Prioritization for Efficient Microbenchmarking in Cloud-based CI/CD
- Causality-Based Fault Localization
- WFDB-x: Conformance-Tested Implementations of the WFDB Software Package in Seven Programming Languages
- CrossSWE: Benchmarking Cross-Repository Joint Development for Coding Agents
- What reviewers call a Long Method is a length: A pre-registered test of coupling divergence as a god-unit signal, and what it settled instead
- VeriBase: Automated Construction of Theorem Libraries for Software Verification
- Modern Software Engineering with Verification Agents: A Spec-First Architecture for Autonomous Synthesis, Verification IRs, and Organizational Scale
- Trustworthy Execution of Industrial Agents
- APG: Agentic Static-Analysis Infrastructure on LLVM-IR Graph Databases
- Toward an Evidence-Based Template for Agent Instruction Files: An Empirical Study of Adoption, Consistency, and Maintenance
- Fault-Free Profiles and Decision-Level Training for Small-Model Root Cause Analysis
- When Neither Side Confirms: Destructive Tool Approval Across MCP Servers and Hosts
- Does the Judge See What the Evaluation Requires? Input Assurance for LLM Agent Evaluation
- COVE: A Task-Adaptive, Code-Based Ensemble for Proactive Verification of LLM Outputs
- Finding the Pivots to Repair Broken Source-Test Evolution Using LLMs
- Specification-Driven Governance for Fairness-by-Design in Agentic Software Engineering: How Far Can We Go?
- uTECH Turbo-MOVES: The Intersection of Software Architectural Innovation and Sustainable Mobility Analysis
- Supporting Viewpoint Coordination for Compliance by Design with an Artifact Model for Regulatory Requirements Engineering
- What Must Be Done Here? Using a Bounded Application-Security Ontology at the Point of Change
- Decision Models as Policy Gates for Coding Agents: Explicit Policy Boundaries Improve Detection and Reduce False Alarms
- VeriHarm-Bench: Measuring Harmful Success in LLM Coding Agents Verifiably
- Annealing chains that communicate: low-energy cluster structures across engines with one configuration
- IterTestQ: Assembly-Level, Cross-Platform Testing of Quantum Computing Platforms
- SWE-Manager: Selecting and Synthesizing Golden Proposals Before Coding
- Formal Evidence Generation for Assurance Cases for Robotic Software Models
- Automatically Enhancing the Quality of Android App Bug Reports
- AI Slop and the Software Commons
- QPipe: LLM-Based Agentic Quantum Application Generation for Test Optimization
- Trans-Domain Digital Twin: Conceptual Foundations, Architecture, and Research Outlook
- Refusing the Impossible: A Taxonomy and Benchmark for Code Hallucination in Large Language Models
- TRAIL: Towards Effective Log Parsing for Rare Logs through Template-Preserving Augmentation
- Detecting Incorrect LLM Explanations for Automated Program Repair
- Software Security in Software-Defined Networking: A Systematic Literature Review
- Clawdrain: Exploiting Tool-Calling Chains for Stealthy Token Exhaustion in OpenClaw Agents
- MERIS: Adaptive Real-Time Scheduling of Refined Inference DAGs in Dynamic Robotic Environments
- Learning How Much to Collaborate: Difficulty-Aware Topology Selection for Multi-Agent Code Generation
- Death comes for XSLT
- The Ubuntu 26.04 Rust sudo is not compatible with standard sudo
- A Decade of Kill Bugs
- Why did you choose the nix you nix?
- Stop Hardcoding Your Timeouts
- This background sound leaks your exact location
- My favourite laptop
- Planning with open variable lists in Gecode
- Why we're moving our warehouse off DuckDB
- A Second Futamura Projection
- Firefox Security & Privacy Newsletter 2026 Q3
- Ideas for social networks
- Polyend releases the Tracker firmware source code
- kitty 0.50.0
- An Introduction to Bε-trees and Write-Optimization
- Your terminal manipulation/navigation setups
- What are you doing this week?
- My reflex of assuming our servers need ever-growing amounts of RAM
- Postgres 19 is late, and it's AI's fault
- the lost malloc()
- Recognizing Keystrokes Using WiFi Devices
- 8 jq Commands That Show What Your Coding Agent Actually Did, From Its Transcript (いいね相当スコア: 0)
- We Measured 1,500 Lines of Terminal Bloat Burning $0.20 Per Prompt in Cursor. Here's How We Stripped 97% of It in 2.5ms (いいね相当スコア: 0)
- A Self-Hosted Code Review Bot Invented a CVE That Was Never Issued (いいね相当スコア: 0)
- Your AI Feature's Bill Is a Bug Waiting to Happen: 6 Guardrails Before You Ship (いいね相当スコア: 0)
- Prove It Works: Building an Eval That Can Catch a Broken Benchmark (いいね相当スコア: 0)
- How to Build Your Own Team ChatGPT With LibreChat, Claude and MCP (Pay per Token, Not per Seat) (いいね相当スコア: 0)
- The ChatGPT-User Bot Reads Your Site Less Now. Here's How to Check Your Logs (いいね相当スコア: 2)
- Leaving Character.AI in 2026? A Practical Checklist for Choosing Your Next AI Companion App (いいね相当スコア: 0)
- Top 99 Trusted US & UK Websites for Buy Verified OnlyFans Accounts – Complete Guide (いいね相当スコア: 0)
- EU AI Act Impact on Cryptography & AI Security – Analysis and Outlook (いいね相当スコア: 0)
- Build an MCP Server a Model Can Actually Use (いいね相当スコア: 0)
- How to Build Your First AI Agent Using Python (いいね相当スコア: 0)
- LongCat-2.5: 1.6T Parameters, 1M Context, $0.30 API (いいね相当スコア: 0)
- [Boost] (いいね相当スコア: 0)
- I Tested All Claude 5.5 Models to Find the Perfect One (Here's What Happened) (いいね相当スコア: 1)
- GPU Kernels, Part 2: Teaching a 27B Model to Write Triton Kernels with SFT and a GPU Gym (いいね相当スコア: 0)
- Building Production Features with the Claude API in Java (いいね相当スコア: 0)
- I crawled 150 pages from 6 popular docs sites into RAG chunks: one page often eats half the token budget (いいね相当スコア: 0)
- Safety Rules Don’t Survive the Context Window: Quantifying and Fixing Agent Compliance Decay (いいね相当スコア: 0)
- Agent Memory's Reality Check: Why Simpler Retrieval Keeps Winning and Harnesses Split Brain From Hands (いいね相当スコア: 0)
- AI Engineer Interview Questions in 2026: 5 Answers Worth Having Ready (いいね相当スコア: 0)
- LLM API Pricing Compared: Claude vs GPT vs Gemini vs DeepSeek (Live Numbers, Nov 2026) (いいね相当スコア: 0)
- Nobody else seems to have as hard of a time with Claude as I do. I just want to understand why Claude hates me.
- I tried to make Opus 5.5 cheaper with a cheap coding subagent, but It got worse and more expensive
- I'm worried Claude will become less and less useful for what I use it for.
- What the hel is happening with limits
- GTA VI - I had Claude 5.5 help me build a GTA VI Vice City style 3D pixel diorama, and I'm obsessed with the neon glow. 🌴🌆
- Opus 5.5 medium with blender mcp is insane with the right prompting
- A Solo Developer Built This in 4 Days With Opus 5.5 + Godot. This Is Getting Ridiculous
- 560 commits with claude in two weeks: "Weave all together"
- How to start "Obsidian + ClaudeAI"
- Anthropic's internal AI use, valued at retail prices, now exceeds its employee pay
- Opus 5.5 for code, Opus 4.6 for ideas and brainstorming
- How did you get better at building agentic systems? What helped most?
- Anthropic Residency: applications open for established technical leaders
- Started a hobby project about the Mongol Invasions of Vietnam. Claude helped turn it into a real game
- I asked Claude which database to use 612 times, then had Claude Code and Cursor build the same apps. In 4 of 7 jobs they built something else.
- Claude pro average user consumption
- How do you keep track of multiple coding agents running in parallel?
- Switching from Codex to Claude Code - any tips on initial setup and keeping usage under control?
- Anthropic has their new IPO site staged and live: https://ipo.anthropic.com/us/
- Claude Code leads to more Claude Code
- Good to know browser rules in case you wanted to add it to your Claude agent files: tell it to click and type at normal human pace and hand over control to yourself if it asks for capatcha. You can also tell it to use your default browser instead of its own to reduce bot detection risk.
- Best ways to use both Claude and ChatGPT models under a single interface?
- Weekly Self Promotion Thread
- Muse Wonder 1.0 (Meta's Muse Code) vs DeepSeek V4.1 Flash in Codex CLI — same real task, side by side: time, code quality, tokens, quota
- How do you organize secrets and credentials when building with agents?
- How do you get a coding agent to ask instead of guess when you're not watching?
- subscription question.
- Before your agent plans anything, let it interview you
- We moved from one coding agent to a few specialist agents and the token use went way up. Where is it worth it for you?
- One vendor cut usage overnight, another doubled it after backlash. How do you plan around this?
- Is there a sane way to hand work between claude.ai / ChatGPT in the browser and Claude Code in the terminal?
- gpt-6.1-sol and claude opus 5.5 were 95%+ sure about 5 lines of code nobody can check
- My agent reported "0 results" as a success because it forgot last week's contract. A 5-line memory card ended that.
- We’re the product team at Reflection, the lab behind Beam — Ask Us Anything!
- RTX 5090 with 64GB and 96GB VRAM 'confirmed' by US GPU repair tech
- Alibaba's Qwen Code repo just leaked qwen4-max, qwen4-coder-plus, and qwen4-omni-120b
- Official Statement: Qwen Models Will Stick to Open Source to the End!
- What Qwen is thinking when it gets stuck saying "Wait"
- Is Qwen 3.8 27B still the king
- Four open coding models, prompted to finish an upload URL - analysis
- “Can Qwen directly control the robot as well as GPT-6 Astra?”
- Amazon Is Allegedly Canceling GPU Orders And, In Rare Cases, Closing Accounts For Purchasing Compute Hardware; Tim Sweeney Also A Victim Of This Practice
- Qwen 3.8 27b is sometimes so smart it scares me...
- Qwen3.8-Flash-Next (local) vs Claude
- Has anyone done a in-depth comparison between Qwen-3.8 27b @ 8bpw and Qwen-3.8-FN @ 4bpw?
- I tried MIT's "weight-space programming" on my own use case: Claude rewrote 8 neurons of Gemma 4 12B to change how it translates one Italian tense
- balbal-v2: Turkish speech recognition that runs on CPU, 2nd on Mu-Bench TR after Google Chirp 3
- Strata is the shit
- Underrated benefit of Local AI: Speed
- I found another niche use case for local LLMs, but need some advice
- New sparse attention method for ultra-long context
- nvidia/NVIDIA-NemotronLabs-RE-USE · Hugging Face
- mtmd : add Nemotron 3.5 Transcribe support by pskrunner14 · Pull Request #31471 · ggml-org/llama.cpp
- Weekly Hiring Thread
- What’s been the most useful thing you’ve done with personal agents?
- Anyone here running this new tool TestMu in prod?
- How do I get started automating everyday tasks with AI?
- I gave a Claude Code agent one job, make money. It checked 12 business ideas and killed 11 before writing any code
- Adding a new AI agent to an existing agent team: what should I test first?
- Free AI tokens
- Small business owners using AI agents: free tier, pay-per-use, or flat subscription? What actually surprised you on cost?
- What’s the sneakiest change your coding agent made that you only caught later?
- How do you debug your AI agents?
- If an agent can raise its own spending cap, was it ever a cap?
- Best for 3D websites
- Four low-cost LLM coding agents in survival Minecraft: a 12-day run and a server-log audit of every milestone
- What's the best ai agent platform you actually settled on?
- An agent server with a framework, development environment, runtime, semantic router, and state management
- Connecting multiple AI agents to the same data doesn't mean they'll stay in sync
- A chat response isn’t enough to call an agent backend “OpenAI-compatible”
- Annoying
- If you switched model providers tomorrow, what would your agents forget?
- Get 100 Web Design Clients Without Relying on Referrals
- Best patterns for evaluating AI agents?
- Is human review just part of the deal with AI meeting tools?
- Discussion: Triggers, actions, and conditions in a workflow.
- Our agent’s eval score jumped overnight. It had found the answers inside its own environment
- This guy figured out how to leak your exact location from any video with sound using the Doppler curves of nearby airplanes
- Sorry, my agents accidentally did it
- What's the deal with all these RAM memes?
- How OpenAI Cofounder Greg Brockman’s Wife Anna Became a Trump and MAGA Mega-Donor
- Insane
- How To Trap Sam Altman
- I want him to know
- AI agent swarms unleashed in Minecraft to ‘build a thriving civilization’ — 50-agent teams fail after falling into paralyzing bureaucracy
- Uncle Sam
- Splitting the router from the worker cut p95 latency 47% — and tripled cache reads
- Sam Altman's RAM allocation argument, applied to food
- WHAT YOU SAY!!
- NEW RESEARCH LINKS AI COMPANIONS TO LESS LONELINESS AND HIGHER SELF-ESTEEM
- 371 AI chatbot requests, 3.7M tokens, $1.04 total (ChatGPT Luna 5.6)
- Astra 6.2 rolling out?
- Which model to use when?
- Upgrde from Plus to Pro, brings more than usage?
- What else.
- OpenAI says its Georgia data center will cut up to 1,000 MW when the grid is strained
- Here's Altman!
- [D] Self-Promotion Thread
- We turned 10 years of ML papers into one page per topic: benchmark records, what got tried, what reviewers expect [P]
- To all ML PhDs, how are you guys doing these days? [D]
- Anybody up for discussion on improvement of inference speed of Language Models[R]
- ICLR 2027 review results [D]
- Couldn't reproduce a published paper's numbers with its own code and settings. How do I present this? [R]
- Paper review question [D]
- CPU parallelism lessons that carry over to GPU kernels: dependency chains, FP non-associativity, false sharing, memory-bound loops [P]
- ML PhDs: Would you rather have done your PhD before or after the rise of AI chatbots? [D]
- Small-scale check of "good views beat next-token prediction" (Balestriero & LeCun 2026): human captions only, 11M-param encoders [P]
- What did Ilya Sutskever mean when he said "The models, they just want to learn"? [D]
- LightMIS: Ultra-lightweight medical image segmentation for edge devices [R]
- I tested whether changing who an argument is attributed to changes how LLMs evaluate the exact same argument [R]
- Any update with the accomodation from NeurIPS [D]
- Operators Day : 10 founders hiring for founding ML roles - Nov 5 [n]
- How to handle object deduplication across multiple camera angles using YOLO (especially for tiny 20x22px crops) across isolated user sessions? [D]
- What actually broke when I tried to fine-tune on web-scraped data and what fixed it [D]
- [R] There is no free lunch in RLVR: under strategy specialization, every pass@1 gain provably costs some prompt, and the pass@k crossover has a tight bound [R]
- ok AI assistants are getting kinda out of hand
- To the companies building AI: the cheapest day to pay for the damage is today
- Am I the only one that prefers to build it rather than paying for it?
- The model didn't break containment. The sandbox was shit, and the marketing team did the rest.
- UK High Court records a non-existent case citation in its 2026 judgment
- Marvell inks record-breaking $115B AI deal
- Brookfield targets $27 billion AI data centre at UK power station site in Yorkshire
- Almost half of all new Steam games use AI now
- OpenAI lowers funding goals as investors cool on AI
- Databricks Dashboard Insights: Genie summarizes the charts
- What AI tools do you use on your store?
- Measuring AI hype in marketing copy: site builder homepages went from 16 mentions of "AI" in 2022 to 570, and "agent" from 0 to 99
- Getting Your First 10 Web Design Clients Is Very Different From Getting Your Next 100
- I made ChatGPT, Claude, Gemini, etc. into FREE text-to-speech sites.
- Apple Intelligence in China will run on Alibaba's Qwen, testing starts Nov 4
- Who Gets to Hold the Reins of AI
- A new form of artificial intelligence could give scientists a clearer view of how living systems change over time and accelerate the pace of medical discoveries. The technology could be applied to accelerate drug discovery, precision medicine and other biomedical advances.
- Anthropic builds breakthrough system to help users trust AI
- OpenAI says its AI is getting better at doing things humans do, like shopping and meal planning
- AI May Find a Multi-niche as Tech Skill Advances While Funding Retreats
- OpenAI’s quarterly commit growth has exploded this year, rising to 2442% by Q4 2026 relative to Q1 2024
- Designers, how do you... work?
- Apple Intelligence is finally coming to China in December, powered by Alibaba's Qwen instead of ChatGPT
- How to stop Meta, OpenAI, and Apple from training AI on your data in the UK
- I discovered a sound that leaks your exact location (and it's everywhere) - YouTube
- October sponsors-only newsletter
- llm 0.37
- The U.S. Census Bureau and “Super Intelligence”
- Building AI for Lawyers - Jacob Lauritzen, CTO of Legora
- Building Legal Agents When You Can't See the Data - Jacob Lauritzen, CTO of Legora
- nana
- Infino AI
- One Roof
- Testera
- Scrawl
- People Search by Context.dev
- MachineMail
- Akema
- asklog
- Flockbay
- SUN Web & API
- NEXUPIRA
- Oreja de Van Gogh
- Corvo
- Prism
- Beaquaro Studio
- Remote Gaze
- Brink
- Calendarly
- LidCommit
- PowerShips
- Show HN: Unblock Dot/Grok Bot/Instinct with Amazon, etc.
- How to export Grok to pdf [video]
- Evaluating DeepSeek v4.1 Flash-1017 for loss of control and harmful manipulation
- DeepSeek also can easily read and write ML Weights
- Chinese AI models tumble down rankings after a crucial change to testing - Business Insider
- Redditor Uses DeepSeek AI To Unlock AMD Fluid Motion Frames 3 On RDNA 3 And RDNA 4 GPUs Ahead Of Official Release - Wccftech
- China Speeds AI Law; DeepSeek, Alibaba Face Disclosure Push - FourWeekMBA
- The Luxury of Discussion: AI, Power and the Illusion of Open Debate — Part 2 - Fair Observer
- Open-Weight AI Models Side by Side: The Spec Sheet - shattered.io
- DeepSeek expands its AI ambitions: a new software agent to rival developer tools - صوت الإمارات
- AI agents being given greater autonomy - China Daily Global Edition
- China’s Bid To Win the AI Race - The McGill International Review
- ‘Coming for the King’ in AI. OpenAI, DeepSeek & Samsung. ARD #197 - AI: Reset to Zero
- Is Europe in a ‘complete trap’ without frontier AI? - Techzine Global
- AI: DeepSeek Develops Agents Capable of Working Almost Independently - Cointribune
- DeepSeek aims to rival Anthropic with new coding agent - Silicon Republic
- DeepSeek Wants Coding Agents to Stop Waiting for Instructions - DevOps.com
- Open-Source Fix Slashes DeepSeek V4.1 Startup Time on Gaming GPUs - Startup Fortune
- Giving every team a data scientist with Grok Bot - xAI
- Grok Bot as Personal Assistant: 5 Details That Matter - BASENOR - Tesla Accessories
- AtScale Brings Trusted Business Context to Grok - AiThority
- Grok AI Ranks Ethereum, Chainlink and Ondo: Which Gains Most if Tokenized Stocks Take Off? - 24/7 Wall St.
- Claude vs ChatGPT vs Gemini vs Grok: Port Memory [2026] - tech-insider.org
- Elon Musk is cutting people off from their personal ‘Grok Bots’ - The Independent
- One press of your iPhone's Action Button and Grok can SEE what you're looking at. That's pretty damn useful. Watching a video, reading an article, or scrolling through 𝕏? Grok can analyse what's on your screen and answer questions about it. No more taking s - X
- Mistral Is Racing OpenAI and xAI on a Fraction of Their GPUs - Startup Fortune
- What Using Grok Bot For Two Weeks Taught Me About AI, Job Automation And Interest Rates - Seeking Alpha
- XAI Madison Equity Premium Income Fund declares $0.06 dividend - TradingView
- xAI Introduces Data Bot to Bring Shared Analytics Skills to Grok Bot - Unite.AI
- XAI Madison Equity Premium Income Fund Declares its Monthly Distribution of $0.060 per Share - Yahoo Finance
- AtScale Brings Trusted Business Context to Grok - The Joplin Globe
- Elon Musk’s Grok AI Predicts a Huge Move for Ethereum: Can it Really Go This High by 2027? - 99Bitcoins
- Grok helps woman save $500/yr on meds - MoneyWise.com
- Texas woman thanks Elon Musk and Mark Cuban — ‘frenemy billionaires’ — after Grok helped her save $500/year on meds - Yahoo Finance
- Xai Madison Equity Premium Income Fund Declares Its Monthly Distribution Of $0.060 Per Share - TradingView
- Best AI Chatbot Subscription by Plan: $20 to $500 [2026] - https://tech-insider.org/
- The Graves That Still Speak – OpEd - Eurasia Review
- XAI Octagon Floating Rate & Alternative Income Trust (XFLT) Decl - GuruFocus
- Nvidia and AMD Are Backing a $6 Billion AI Startup Taking on Grok - Benzinga
- Grok vs Claude API Test: 13 Steps in 70 Min [2026] - https://tech-insider.org/
- Elon Musk's answer to Christopher Nolan's Odyssey is 7 minutes of painfully dull AI slop - TechRadar
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- 先週注目された記事（2026年10月25日〜2026年10月31日）