AI News

Shortcut Sensitivity in Agent-Safety Evaluations (arxiv.org)

Graph Additive Models disentangling feature, topology, and interactions (arxiv.org)

Multi-task Neural Diffusion Processes (arxiv.org)

Parallel Layer Normalization for Universal Approximation (arxiv.org)

STAMP: Symmetric Temporal Averaging Message Passing for Domain Adaptation in Chronologically Split Graphs (arxiv.org)

A Closed Form Depth-Width Law for Neural Collapse in Deep Linear Networks (arxiv.org)

Second Maximum of a Gaussian Random Field and Exact (t-)Spacing test (arxiv.org)

Provably Efficient Risk-Sensitive Offline Reinforcement Learning via Optimized Certainty Equivalents (arxiv.org)

The World Won't Wait: Evaluating and Teaching Agents Under a Live Clock (arxiv.org)

PROBE: Learning to Audit Policy Compliance in Tool-Using LLM Agents (arxiv.org)

Learning from Unverified Peers via Shared Residual Distillation (arxiv.org)

Ontology Refinement with Embeddings and LLMs: A Case Study on CASTON (arxiv.org)

When Reasoning Is Not Enough: Proactive Inquiry for Cross-Modal Safety in Multimodal Large Language Models (arxiv.org)

Prism-1: Position- and Rival-Independent Scoring for System One Models (arxiv.org)

Co2In: a Bi-level Memory Incremental Learning Framework with Knowledge Encoding, Consolidation, and Integration (arxiv.org)

The Self-Improvement Problem (arxiv.org)

AgentPerturb: Evaluating LLM Agent Robustness under Controlled Interaction Perturbations (arxiv.org)

Representation Redistribution in Sparse Autoencoders (arxiv.org)

Learning Intrinsic Dynamics in Latent World Models (arxiv.org)

Evaluating Inquiry Learning in LLM-Based Agents: Hypothesizing, Reasoning, and Exploration (arxiv.org)

LoopAhead: Speculating Ahead for Faster Decoding in Looped Language Models (arxiv.org)

LOADBench: A Large Open Analog Dataset and Benchmark for Machine Learning in IC Design (arxiv.org)

ClaimScope: Label-Blind Witness Verification for Mathematical Claim Auditing (arxiv.org)

Believed but Not Said: Measuring Hidden Belief Collapse in Multi-Agent LLM Discussions (arxiv.org)

Are You Sure Your LLM Is Sure? Repairing and Auditing Confidence (arxiv.org)

Reinforcement Learning-driven Diffusion Models: Language, Vision, and Beyond (arxiv.org)

Agent Status Protocol (ASP): A Lightweight Specification for State Reporting in Multi-Agent Systems (arxiv.org)

Incentivizing Tool-Use Reinforcement Learning for Post-Arrival Emergency Care Prediction (arxiv.org)

Learning from Interaction Experience via Localized Context Distillation (arxiv.org)

Do Agents Need a New Kind of Paper? SPRA: Structured Paper Representation for Agents (arxiv.org)

RAG-RST: Retrieved Exemplars as In-Context Discourse Schema for RST Parsing (arxiv.org)

From Perception to Prediction and Intervention: Benchmarking Proactive Video Assistants in Real-Life Scenarios (arxiv.org)

A Quantum Machine Learning Approach to Content-Based Media Recommendation (arxiv.org)

When Does Muon Actually Win? A Paired Data-, Time-, and Tuning-Budget Benchmark (arxiv.org)

Uncertainty Quantification in Pairwise Difference Learning for Classification (arxiv.org)

V-SHARE: Provable Convergence Guarantees for Advantage-based Algorithms (arxiv.org)

Realtime-Bench: Can Frontier Models Solve Real-time Interactive Problems? (arxiv.org)

What Does History Add? Calendar Controls and Information-Timing Audits for University Trajectory Forecasting (arxiv.org)

Learning to Forecast on Multiple Spatiotemporal Hierarchies (arxiv.org)

Multi-Reward Hacking: From Aggregation-Induced Drift to Trust-Anchored Defense (arxiv.org)

Fault Detection and Bit-Error Rate Diagnostics in Optical Wireless Links Using Edge-AI (arxiv.org)

JevAgentHarness: Benchmarking, Deploying and Training Decision Models That Share Control with LLMs (arxiv.org)

Constrained Multi-Agent Reinforcement Learning in Imagination (arxiv.org)

Money-Mule Detection as a Relational Learning Problem: A Study on the RBIH NFPC Dataset (arxiv.org)

Bias Control and Injection for Multi-Agent Aggregation (arxiv.org)

The Density of Thought: Predicting and Steering Reasoning in Large Language Models (arxiv.org)

Multi-sourced AI Tutor for Non-Native English Speaker Students (arxiv.org)

Learning Topology-Aware Representations for Mechanics-Relevant TPMS Metamaterials (arxiv.org)

Diminishing Returns of Data in Sparse Autoencoders: Functional Behavior does not Guarantee Feature Reproducibility (arxiv.org)

Designing Experiments for External Decision Makers (arxiv.org)