AI News

Slow-Fast Multi-Teacher On-Policy Distillation for Capability Preservation (arxiv.org)

Drive vs. Decay: On the Training Dynamics of Joint-Embedding Predictive Architectures (arxiv.org)

Deep Bayesian REFoCUS (arxiv.org)

Open-Endedness Bench: Measuring Epistemic Process from Agent Records (arxiv.org)

TasteBench: Multimodal Benchmark for Sensory Prediction, from Molecules to Sustainable Foods (arxiv.org)

Time Series Forecasting Benchmarks Need Scenario-Grounded Stress Testing (arxiv.org)

VERSE: Verified Self-Evolving Optimizer for Agent Harnesses (arxiv.org)

JARQ: Joint Alternating Refinement for Quantization (arxiv.org)

Lexicographic Multi-Objective On-Policy Distillation (arxiv.org)

ArrivalBench: Agent-Generated Data Pipelines Are Correct Once and Wrong Under Time (arxiv.org)

Co-design Gym: A Unified Benchmark for Embodiment-Policy Co-optimization (arxiv.org)

Latent-MOPD: Latent Multi-Teacher On-Policy Distillation (arxiv.org)

Dynamic Expert Pruning for Multi-Agent Systems (arxiv.org)

SlimKV: Joint Token-Feature KV Cache Compression with Reconstruction-Free Beacon Attention (arxiv.org)

Hyperparameter selection for equation learning with biologically-informed neural networks (arxiv.org)

Understanding Trajectory Heterogeneity in Federated World Model Learning (arxiv.org)

Dirac-Interconnected Neural Elements: Discovering Modularity in Physical Systems Without Reduction (arxiv.org)

Differentiable Koopman Operator for Contrastive Learning on Dynamic Graphs (arxiv.org)

Sentry: Learning to Recover from LLM Agent Failures at Test Time (arxiv.org)

Temporal Geometry of Deep Networks: Hyperbolic Representations of Training Dynamics for Intrinsic Explainability (arxiv.org)

Learning Jazz Pianist Style with Cross-Attention Conditioning (arxiv.org)

Hybrid Machine Learning-Assisted Raman Spectroscopy with Generative Feature Augmentation for Pharmaceutical Identification (arxiv.org)

The Price of Greenwashing: Algorithmic Verification and Market Discipline using Conformal Machine Learning (arxiv.org)

State-Space Unlearning for Non-Stationary Bias in Land Surface Forecasting (arxiv.org)

Hesitation Has a Geometry: Entropy-Trained Hyperbolic Probes for Sparse Activation Steering (arxiv.org)

Inherit-MAS: Test-Time Evolution of Multi-Agent Systems through Workflow and Execution Inheritance (arxiv.org)

Quantifying the Value of Constructive Induction, Knowledge, and Noise Filtering on Inductive Learning (arxiv.org)

Learning from the Gap Between Pass@K and Pass@1 (arxiv.org)

Copula Active Subspaces I: A Score-Covariance Method for Reduced-Order Non-Gaussian Density Estimation (arxiv.org)

Interpreting at Write Time: A Policy Ablation for Multi-Goal Agent Memory (arxiv.org)

Bidirectional Voronoi-biased Exploration Curriculum for Reinforcement Learning (arxiv.org)

A Unified Framework for Bayesian Data Assimilation with Generative Models and Observation Interpolants (arxiv.org)

16-bit Precision of Convolutional Neural Networks on Microcontroller Units for 8-bit Costs (arxiv.org)

AIBL: Augmented Instance-Based Learning with Structured Memory and Neural Embeddings (arxiv.org)

Most-Recent Anchoring with Recurrent Ordering for Time Series Forecasting (arxiv.org)

Rethinking Epistemic Uncertainty in Node Classification through Information Growth (arxiv.org)

Bounded Reachability & Jailbreak Detection via Contraction-Constrained State Space Models (arxiv.org)

Harness-Aware Distillation for Small Language Model Agents (arxiv.org)

TACD: Distilling Efficient Text-to-Motion Models via Terminal Amplification Control (arxiv.org)

PsyEvo: A Personalized Counseling Agent That Self-Evolves at Test Time (arxiv.org)

Single or Multiple Policies for Phase-Structured Reinforcement Learning? (arxiv.org)

Metropolis-Hastings Dominates Importance Resampling for Policy Composition (arxiv.org)

Dual-Context Analog Retrieval for Time Series Forecasting (arxiv.org)

Certified Mechanistic Edits: Behavioral Guarantees for Skill Removal and Preservation (arxiv.org)

Reasoning with Evidence, Not Merely Rationales: Verifiable Preference Proofs for LLM-Based Recommendation (arxiv.org)

Distributed Learning with Selective State Space Models: Architecture-Aware Convergence Analysis (arxiv.org)

Reliable Self-Evolution with Imperfect Proxy Rewards (arxiv.org)

Relevant Evidence Decoding for Audio-Visual Hallucination Mitigation (arxiv.org)

ZeroMAG: Zero-Shot Multimodal Adapter Generation for Plug-and-Play EEG Foundation Models (arxiv.org)

Objects Without Morphisms: What LLMs for Mathematics Do Not Represent (arxiv.org)