AI News

Profiling Privacy Preservation Against Gradient Inversion Attacks in Tabular Federated Learning (arxiv.org)

Data Enrichment for Symbolic Regression Using Diffusion Models (arxiv.org)

Trust Functions: Near-Lossless Weak-to-Strong Generalization by Learning When to Trust the Weak Teacher (arxiv.org)

Beyond Task-Agnostic: Task-Aware Grouping for Communication-Efficient Multi-Task MoE Inference (arxiv.org)

S3TS: Stochastic Scenario-Structured Tree Search for Advanced Planning Under Uncertainty (arxiv.org)

LLM-Evolved Pattern Generators for Optimal Classical Planning (arxiv.org)

From Capability Models to Automated Planning: An AAS-Native Approach for Automatic PDDL Generation (arxiv.org)

CEON: Circular Economy Ontology Network (arxiv.org)

POIROT: Interrogating Agents for Failure Detection in Multi-Agent Systems (arxiv.org)

Strong Stochastic Flow Maps (arxiv.org)

MedGym:A Unified Continuous-Time Benchmark for Dynamic Medical Treatment Reinforcement Learning (arxiv.org)

OPD+: Rethinking the Advantage Design for On-Policy Distillation (arxiv.org)

Plausibility Is Not Prediction: Contrastive Evidence for LLM-Based Cellular Perturbation Reasoning (arxiv.org)

Interaction-Limited Safe Continuous-Time RL for Dynamical Medical Treatment (arxiv.org)

Repair Before Veto: Repair-Augmented Constraint Learning for Contextual Decisions (arxiv.org)

Coordination Graphs for Constrained Multi-Agent Reinforcement Learning (arxiv.org)

SIRI: Self-Internalizing Reinforcement Learning with Intrinsic Skills for LLM Agent Training (arxiv.org)

MOC: Multi-Order Communication in LLM-based Multi-Agent Systems (arxiv.org)

Improving Hospital Process Management through Process Mining: A Case Study on COVID-19 Clinical Pathways (arxiv.org)

Non-Vacuous Certification of Transport MCMC via Oscillation-Controlled Normalizing Flows (arxiv.org)

ThinkSwitch: Context Distillation with LoRA and Weight Interpolation for Specific-Purpose Reasoning Tasks (arxiv.org)

Decision-Focused On-Policy Learning for Contextual Linear Optimization with Partial Feedback (arxiv.org)

MViewRouter: Internalizing Geometric Equivariance via Multi-view Alternating Attention for Combinatorial Routing (arxiv.org)

PaCX-MAE: Physiology-Augmented Chest X-Ray Masked Autoencoder (arxiv.org)

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents (arxiv.org)

Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses (arxiv.org)

Spatial Representation Learning Beyond Pixels: Unifying Raster Data and Vector Semantics for Human-Centric Geospatial Foundation Models (arxiv.org)

A Mathematical Conflict Framework for Contextual Data Modulation (arxiv.org)

AgentPLM: Agentic Protein Language Models with Reasoning-Augmented Decoding for Protein Sequence Design (arxiv.org)

A Fiber Criterion for Representation Identifiability in Supervised Learning (arxiv.org)

Soft-NBCE: Entropy-Weighted Chunk Fusion for Long-Context (arxiv.org)

LeAP: Learnable Adaptive Permutation for Feature Selection in Heterogeneous and Sparse Recommender Systems (arxiv.org)

HASTE: Hardware-Aware Dynamic Sparse Training for Large Output Spaces (arxiv.org)

A Per-Component Diagnostic Protocol for Neural HJB-PIDE Solvers under Control-Dependent L\'evy Jumps (arxiv.org)

From Reward-Free Representations to Preferences: Rethinking Offline Preference-Based Reinforcement Learning (arxiv.org)

Bridging the Sim-to-Real Gap in Semiconductor Visual Program Synthesis via Input Binarization (arxiv.org)

HLL: Can Agents Cross Humanity's Last Line of Verification? (arxiv.org)

Beyond One-shot: AI Agents for Learning in Field Experiments (arxiv.org)

AGENTCL: Toward Rigorous Evaluation of Continual Learning in Language Agents (arxiv.org)

MCP-Persona: Benchmarking LLM Agents on Real-World Personal Applications via Environment Simulation (arxiv.org)

STARFISH: faST Accuracy Recovery in pruned networks From Internal State Healing (arxiv.org)

Lagrangian Perturbation Diffusion Steering: Latent Reinforcement Learning for Generative Policies (arxiv.org)

When Data Is Scarce: Scaling Sparse Language Models with Repeated Training (arxiv.org)

Fairness in two-player zero-sum games with bandit feedback (arxiv.org)

Temporal Motif Signatures for Temporal Graph Neural Networks (arxiv.org)

Iteris: Agentic Research Loops for Computational Mathematics (arxiv.org)

RASER: Recoverability-Aware Selective Escalation Router for Multi-Hop Question Answering (arxiv.org)

Bridging the Last Mile of Time Series Forecasting with LLM Agents (arxiv.org)

SafeSteer: Localized On-Policy Distillation for Efficient Safety Alignment (arxiv.org)

Tracking the Behavioral Trajectories of Adapting Agents (arxiv.org)