AI News

BEANS-Next and ROOTS: Broadening Audio-Language Capabilities for Bioacoustics (arxiv.org)

StoreBench: A Live-Commerce Environment for Evaluating and Training Autonomous Operator Agents (arxiv.org)

Reading the Room: Foundations, Design, and Challenges of Normative Competence in LLMs (arxiv.org)

Self-Supervised Keyframe Discovery for Horizon-Invariant Behavior Cloning (arxiv.org)

On the Clock: Towards Punctual and Productive Time-Budgeted AI Agents (arxiv.org)

AI-Mediated Self: How HCI Defines and Relates to the Self (arxiv.org)

Whose Ground Truth? Embracing Ambiguity in Human-Centered AI (arxiv.org)

Plan-and-Patch: Diffusion Language Models for Agentic Planning (arxiv.org)

Speaking the Navigator's Language: Trajectory-Grounded Instruction Translation for Frozen Aerial VLN Agents (arxiv.org)

GameCommBench: A Unified Benchmark and Type-Aware Evaluation for AI-Generated Game Commentary (arxiv.org)

Bilevel optimization for data-driven learning of Koopman embeddings using kernel-based autoencoders (arxiv.org)

Self-sufficient Independent Component Analysis for Demixing Flows (arxiv.org)

Closing the Horizon Gap in Policy Optimization for Adversarial MDPs (arxiv.org)

Composite Online-to-Nonconvex Conversion with Optimal Oracle Complexity (arxiv.org)

The Harness as the Only Mutable Surface: Compliance-Bounded Self-Evolution of LLM Agents in Credit Pipelines, with a Measured Admission Gate (arxiv.org)

Verification with Transfer: Exact Information Frontiers and Their Price in Calls (arxiv.org)

Credal Machine Learning for Risk-Averse Decision Making (arxiv.org)

Exploiting Gradients in Bayesian Inference of Expensive Simulators (arxiv.org)

Optimal random quantisers for spherically symmetric distributions (arxiv.org)

Verification and Self-Improvement in Agentic AI: Foundations and Limits (arxiv.org)

Automated Detection of Match Phases in Football from Spatio-Temporal Tracking Data Using Graph Neural Networks (arxiv.org)

Rare Gate Disagreements Can Limit Plasticity: When Gradient Flow Mispredicts Finite-Batch SGD (arxiv.org)

From Geometry to Generalization: Why Row Normalization Can Beat Adam and Muon (arxiv.org)

Regularized Small Area Estimation with Graph Laplacian Benchmarking priors (arxiv.org)

When Lower Reconstruction Loss Hurts: Distributionally Robust Refinement for Low-Bit LLM Quantization (arxiv.org)

Tight Bounds for Equivalence Testing with Non-Adaptive Conditional Samples (arxiv.org)

Decision-Sufficient Posterior Approximation (arxiv.org)

Sequential Conditional Independence Testing with Machine Learning Models (arxiv.org)

SPD-MetaFormer is what you need for small-data brain decoding (arxiv.org)

Explaining the Saliency Map Sparsity of Adversarially-Trained Neural Networks (arxiv.org)

How Many Directions Must a Truncated Diffusion Sampler Retain? Matching Bounds Under Power-Law Spectra (arxiv.org)

D-SLR: The Disjoint Row-Sparse plus Low-Rank Decomposition (arxiv.org)

Exact SO(3)-Equivariant Isotropic Kernels for Rotation-Robust Neural Dynamics (arxiv.org)

Density Ratio Estimation with Stein Displacement Fields (arxiv.org)

Estimating great expectations under autoregressive language models with potentials (arxiv.org)

Prediction-Powered Data Fusion for Treatment Effect Estimation (arxiv.org)

Testing Algebraic Complete Intersections (arxiv.org)

ISBO: Scalable Spatio-Temporal Bayesian Optimization with Log Gaussian Cox Process Models via the INLA-SPDE Approach (arxiv.org)

Quickest Change Detection with Diffusion-Integrated Scores (arxiv.org)

Differentiable Systematic Resampling for Variational Sequential Monte Carlo (arxiv.org)

Diffusion Removes Langevin's Conditioning Dependence: A Sharp Gaussian Analysis (arxiv.org)

Efficient and Generalizable Archetypal Analysis for Discrete Data (arxiv.org)

Efficient quadratic entropy with distance sketches (arxiv.org)

Score-Based Learning of Cluster DAGs from Interventions (arxiv.org)

$\sigma$Transfer: Uncertainty Transfer from Small to Large Networks under $\mu\mathrm{P}$ (arxiv.org)

Minimax Gaussian Mechanisms for Continual Machine Unlearning (arxiv.org)

Embedding-Bias in Conditional Independence Testing (arxiv.org)

LAIR-Net: Leaky Alignment-Impulse Residual Networks for Tabular Regression (arxiv.org)

PSI-SINDy: Post-Selection Inference for Sparse Identification of Nonlinear Dynamics (arxiv.org)

Feature Space Adaptation for Effortless Gaussian Process Flows (arxiv.org)