AI News

Beyond Local Accuracy: Benchmarking the Rollout Reliability of PDE Foundation Models (arxiv.org)

Robust and Fine-Grained Detection of AI Generated Texts (arxiv.org)

Gangqinpu: A Multi-Genre, Multi-Task Piano Dataset with Aligned Audio, MIDI, and Musical Scores (arxiv.org)

From Speech Tokens to Stolen Voices: Attacker-Chosen-Text Speaker Impersonation via Representation Inversion (arxiv.org)

Knowing When the Evidence Is Enough: Requirement-Directed Search with Horn-Closure Certificates (arxiv.org)

Benchmarking Obstacle-Conditioned Safety in Household Robot Navigation (arxiv.org)

Agent Memory as Recommendation: Recommender-System Design for Long-Term Memory of LLM Agents (arxiv.org)

Video World Models Need Predictable Latents (arxiv.org)

Thinking-in-Bets at Test Time Reduces Sycophantic Revisions in LLM Agents (arxiv.org)

RobotAgentBench: Towards Open-world Robot Autonomy (arxiv.org)

Every Weight Is a Path of Shared Discrete Decisions (arxiv.org)

Decode Late, Multiply Once: Rethinking the Dot Product for Quantized Weights (arxiv.org)

Topological Equivalence of Spectral and Density Cluster Hierarchies (arxiv.org)

Scaling Transformer Energy-based Models For High Quality Image Synthesis (arxiv.org)

Forecasting Associations, Not Interventions: A Preregistered Causal Audit of Covariate-Aware Time Series Foundation Models (arxiv.org)

Rewriting Scaling Laws for Synthetic Data with Compute and Data Constraints (arxiv.org)

Intrinsic Goals for Autonomous Agents: Hierarchical Exploration Captures Future Volitional Action in Drosophila (arxiv.org)

AgentProofBench: Benchmarking Reusable Verifiers for Web Agents (arxiv.org)

CodeMeepo: A Multi-Agent Workflow for Repository-Level Code Migration and Optimization (arxiv.org)

RIDE-Splat: Reflection Removal for In-the-Wild Driving Environments (arxiv.org)

Entity Matching using Decision Models (arxiv.org)

Aligning Large Language Models with Human Feedback: Mathematical Foundations and Algorithm Design (arxiv.org)

Cautious Conflict-Free Inverse Gradient Methods (arxiv.org)

Speculative Diffusion is a Tale of Two Tradeoffs (arxiv.org)

Nested Sparsity for Scalable Pretraining and Continual Learning (arxiv.org)

CuraLoc: Repository-Level Fault Localization via Planned Code Inspection (arxiv.org)

Unlocking the Specialization Capability of PPG Foundation Models for Wearable Signals through Structured Pruning and Adaptive Fine-Tuning (arxiv.org)

InfiniteWorld: Separating Visual Evidence from Familiar Physics (arxiv.org)

The Hitchhiker's Guide to System 1 Models: Fast Decision-Making Beyond LLMS (arxiv.org)

An actively trained neural operator for near-explicit atmospheric chemistry (arxiv.org)

Local Entropy Fluctuations for Black-Box LLM-Generated Text Detection (arxiv.org)

When Does Dynamics Randomization Test Context Inference? (arxiv.org)

PaperScorer: How Predictable Is Paper Acceptance? (arxiv.org)

Not All Retained Clients Are Equal: Client Selection for Federated Unlearning (arxiv.org)

Cognitively Constrained Partners for Zero-Shot Coordination in Real-Time Partitioned Control (arxiv.org)

Towards Adversarially Robust Multigraph Neural Networks for Financial Crime Analysis (arxiv.org)

Waypoint: Analytically Modeling GEMM for CPUs (arxiv.org)

Does LeWorldModel Preserve Local Action Geometry? (arxiv.org)

The Path to NDE 4.0: A Review of Algorithms, Techniques, and Strategies for Autonomous Inspection (arxiv.org)

Announced Breaks Separate Conformal Reliability from Frequency Calibration (arxiv.org)

Inverse Modeling for Laser Pulse Shape Design in Inertial Confinement Fusion (arxiv.org)

All the Facts, Still the Wrong Answer: Integration Gaps in Vision-Language Models (arxiv.org)

Human-Feedback-Guided Multi-Agent Inverse Reinforcement Learning for Interactive Driving Behavior Modeling (arxiv.org)

Seeing the Options: Typed Decisions over Visual Candidates with Reusable Option Memory (arxiv.org)

PACE: Research Proving Agent for Adaptive Conjecture Exploration (arxiv.org)

More: Mode-Optimized Reasoning with Self-Adaptive Effort for Self-Evolving Agents (arxiv.org)

Meta-CLIP: Metadata-Conditioned Contrastive Learning for Zero-Shot Disease Inference (arxiv.org)

SWE-Ladder: Learning to Localize, Reproduce, and Patch via Progressive Privileged Self-Distillation (arxiv.org)

Power-of-Two Leaky Integrate-and-Fire Neurons for Event-Driven Vision-Language-Action Inference (arxiv.org)

Physics-Informed Graph-Based Safe RL with Constraint-Specific Critics for Community Battery Coordination in Distribution Network (arxiv.org)