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cs.AI updates on arXiv.org

ArborKV: Structure-Aware KV Cache Management for Scaling Tree-based LLM Reasoning Spreadsheet-RL: Advancing Large Language Model Agents on Realistic Spreadsheet Tasks via Reinforcement Learning Visibility nowcasting in South Korea: a machine learning approach to class imbalance and distribution shift MPDocBench-Parse: Benchmarking Practical Multi-page Document Parsing Latent-space Attacks for Refusal Evasion in Language Models Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals S2ED: From Story to Executable Descriptions for Consistency-Aware Story Illustration Frequency-Domain Regularized Adversarial Alignment for Transferable Attacks against Closed-Source MLLMs Evaluating Large Language Models as Live Strategic Agents: Provider Performance, Hybrid Decomposition, and Operational Gaps in Timed Risk Play Predicting Performance of Symbolic and Prompt Programs with Examples A Camera-Cooperative ISAC Framework for Multimodal Non-Cooperative UAVs Sensing Toward AI VIS Co-Scientists: A General and End-to-End Agent Harness for Solving Complex Data Visualization Tasks ExComm: Exploration-Stage Communication for Error-Resilient Agentic Test-Time Scaling TBP-mHC: full expressivity for manifold-constrained hyper connections through transportation polytopes SGR-Bench: Benchmarking Search Agents on State-Gated Retrieval Towards a compositional semantics for quantitative confidence assessment in assurance arguments Local Covariate Selection for Average Causal Effect Estimation without Pretreatment and Causal Sufficiency Assumptions A Subjective Logic-based method for runtime confidence updates in safety arguments Knowledge Graph Re-engineering Along the Ontological Continuum (extended version) Advancing Mathematics Research with AI-Driven Formal Proof Search Beyond the Org Chart: AI and the Transformation of Invisible Work AttuneBench: A Conversation-Based Benchmark for LLM Emotional Intelligence Implicit Safety Alignment from Crowd Preferences Adapting the Interface, Not the Model: Runtime Harness Adaptation for Deterministic LLM Agents Skill Weaving: Efficient LLM Improvement via Modular Skillpacks Faster Completion, Less Learning: Generative AI Reduced Study Time on Math Problems and the Knowledge They Build The Impact of AI Usage and Informativeness on Skill Development in Logical Reasoning The Log is the Agent: Event-Sourced Reactive Graphs for Auditable, Forkable Agentic Systems Meta-Soft: Leveraging Composable Meta-Tokens for Context-Preserving KV Cache Compression IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Protein Thoughts: Interpretable Reasoning with Tree of Thoughts and Embedding-Space Flow Matching for Protein-Protein Interaction Discovery WorkstreamBench: Evaluating LLM Agents on End-to-End Spreadsheet Tasks in Finance Forecasting Scientific Progress with Artificial Intelligence Scaling Observation-aware Planning in Uncertain Domains TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks Patch Hierarchical Attention Transformer for Efficient Particle Jet Tagging Is Capability a Liability? More Capable Language Models Make Worse Forecasts When It Matters Most PEARL: Unbiased Percentile Estimation via Contrastive Learning for Industrial-Scale Livestream Recommendation Scalable On-Policy Reinforcement Learning via Adaptive Batch Scaling HarnessAPI: A Skill-First Framework for Unified Streaming APIs and MCP Tools AI-Enabled Serious Games: Integrating Intelligence and Adaptivity in Training Systems Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs Towards Direct Evaluation of Harness Optimizers via Priority Ranking The Shape of Testimony: A Scalable Framework for Oral History Archive Comparison MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems LLM-Metrics: Measuring Research Impact Through Large Language Model Memory ECPO: Evidence-Coupled Policy Optimization for Evidence-Certified Candidate Ranking Graph neural network explanations reveal a topological signature of disease-associated hubs in biological networks Harnesses for Inference-Time Alignment over Execution Trajectories What Counts as AI Sycophancy? A Taxonomy and Expert Survey of a Fragmented Construct When Are Teacher Tokens Reliable? Position-Weighted On-Policy Self-Distillation for Reasoning AOP-Wiki EMOD 3.0: Data Model Expansions and Content Evaluation Framework for Using Agentic AI to Improve Integration between AOPs and New Approach Methodologies (NAMs) Who Uses AI? Platforms, Workforce, and AI Exposure MindLoom: Composing Thought Modes for Frontier-Level Reasoning Data Synthesis Understanding Perspectives of Patients, Caregivers and Clinicians towards Emerging Collaborative-decision Making Technologies Trace2Skill: Verifier-Guided Skill Evolution for Long-Context EDA Agents FLUID: From Ephemeral IDs to Multimodal Semantic Codes for Industrial-Scale Livestreaming Recommendation SMDD-Bench: Can LLMs Solve Real-World Small Molecule Drug Design Tasks? Measuring Cross-Modal Synergy: A Benchmark for VLM Explainability High-speed Networking for Giga-Scale AI Factories CLORE: Content-Level Optimization for Reasoning Efficiency Gated DeltaNet-2: Decoupling Erase and Write in Linear Attention Autonomous LLM Agents & CTFs: A Second Look Meta-Learning for Rapid Adaptation in Reference Tracking of Uncertain Nonlinear Systems Evaluation of Pipelines for Data Integration into Knowledge Graphs AtelierEval: Agentic Evaluation of Humans & LLMs as Text-to-Image Prompters A Reproducible Log-Driven AutoML Framework for Interpretable Pipeline Optimization in Healthcare Risk Prediction SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Cross-domain benchmarks reveal when coordinated AI agents improve scientific inference from partial evidence KAPPS: A knowledge-based CPPS Architecture for the Circular Factory Towards a General Intelligence and Interface for Wearable Health Data Support-aware offline policy selection for advertising marketplaces Parametric Modular Answer Set Programs Made Declarative PocketAgents: A Manifest-Driven Library of Autonomous Defense Agents Planning, Scheduling, and Behavior in EV Charging Systems: A Critical Survey and Trilemma Framework Think Thrice Before You Speak: Dual knowledge-enhanced Theory-of-Mind Reasoning for Persuasive Agents Addressing the Synergy Gap: The Six Elements of the Design Space Claw AI Lab: An Autonomous Multi-Agent Research Team TO-Agents: A Multi-Agent AI Pipeline for Preference-Guided Topology Optimization Learning Altruistic Collaboration in Heterogeneous Multi-Team Systems A Causal Argumentation Method for Explainability of Machine Learning Models Active Evidence-Seeking and Diagnostic Reasoning in Large Language Models for Clinical Decision Support RefusalBench: Why Refusal Rate Misranks Frontier LLMs on Biological Research Prompts The Attribution Impossibility: No Feature Ranking Is Faithful, Stable, and Complete Under Collinearity Multivariate Financial Forecasting using the Chronos Time Series Foundation Models Memory-Induced Supra-Competitive Outcomes Between Deep Reinforcement Learning Agents in Optimal Trade Execution Format-Constraint Coupling in Knowledge Graph Construction from Statistical Tables LCGuard: Latent Communication Guard for Safe KV Sharing in Multi-Agent Systems Investigating Concept Alignment Using Implausible Category Members Can AI Make Conflicts Worse? An Alignment Failure in LLM Deployment Across Conflict Contexts Unlocking Proactivity in Task-Oriented Dialogue Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost Enhancing Visual Token Representations for Video Large Language Models via Training-Free Spatial-Temporal Pooling and Gridding Don't Collapse Your Features: Why CenterLoss Hurts OOD Detection and Multi-Scale Mahalanobis Wins Tackle CSM in JPEG Steganalysis with Data Adaptation ST-SimDiff: Balancing Spatiotemporal Similarity and Difference for Efficient Video Understanding with MLLMs Beyond Acoustic Emotion Recognition: Multimodal Pathos Analysis in Political Speech Using LLM-Based and Acoustic Emotion Models An Open Multi-Center Whole-Body FDG PET/CT Foundation Model for Tumor Segmentation AMEL: Accumulated Message Effects on LLM Judgments Hierarchical Variational Policies for Reward-Guided Diffusion
OPPO: Bayesian Value Recursion for Token-Level Credit Assignment in LLM Reasoning
Yu Li, Rui M · 2026-05-23 · via cs.AI updates on arXiv.org
arXiv:2605.21851v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards has become t…