AI News

Rollout Total Correlation for Deep Reinforcement Learning (arxiv.org)

OverThink: Slowdown Attacks on Reasoning LLMs (arxiv.org)

PRIVET: PRoximIty leakage detection Via Extreme value Theory (arxiv.org)

K2-V2: A 360-Open, Reasoning-Enhanced LLM (arxiv.org)

CORDS: Continuous Representations of Discrete Structures (arxiv.org)

Gradient-Stable Attention Heads Signal LLM Correctness (arxiv.org)

Self-Explanation Tutor for Active Study of CS1 Worked Examples (arxiv.org)

A Training-Free Proactive Defense Against Partial Speech Manipulation via Self-Embedding Steganography (arxiv.org)

CASE: Contrastive Activation for Class-Sensitive Explanations (arxiv.org)

SteganoBackdoor: Evading Data-Poisoning Defenses via Steganographic Backdoors (arxiv.org)

A Smoothed Discrepancy Principle for Random Feature Methods and Neural Networks (arxiv.org)

Triply-Scalable Equivariant Gaussian Process Modeling (arxiv.org)

Diagonalized Attention for Individualized Regression: Latent-Row Localization and Prediction (arxiv.org)

Sparse Identification for Automatic Large-Scale Screening: A Constraint-Aware Framework with Ultra Fast Decoding Algorithm (arxiv.org)

Brownian Heads for Deep ReLU Representations: Activation Mass and the Cost of Same-Sample Selection (arxiv.org)

Improving the Predictive Performance of Bootstrap Aggregating by Dirichlet Resampling (arxiv.org)

How Many Posterior Samples? Calibrated Stopping for Adaptive Sensing (arxiv.org)

Riemannian Simultaneous Inference for Tangent Vector Field Regression (arxiv.org)

Training-Adaptive Convolutional Sparse Coding via Information Bottleneck for Robust Visual Representation (arxiv.org)

Aggregated Posterior Predictive Checks for Generative Modeling (arxiv.org)

Layerwise Decoupling for Stable Structured Sparsification of Fully Connected Layers (arxiv.org)

Repulsive normalizing flow mixtures for adaptive importance sampling: reliability analysis of complex systems (arxiv.org)

Robust Dual-Regularized Variable Selection under Outlier Contamination (arxiv.org)

Semantic Calibration Prevails Where Token Confidence Fails: Benchmarking Long-Form Scientific QA (arxiv.org)

Multi-Domain Clustering via Measure Quantization (arxiv.org)

Single-Loop Stochastic Projected Damped Extragradient Methods for Stochastic Nonconvex--(Strongly) Concave Minimax Optimization (arxiv.org)

Neural composite likelihood estimation: simulation based inference for time series (arxiv.org)

EnterpriseVal: Quantifying the Efficacy, Reliability and Value of Generative AI in the Enterprise (arxiv.org)

Geometric Mean Pooling for Equal-Weight Multiplicative Coarse-Graining (arxiv.org)

Schedule optimization for tau-leaping in masked discrete diffusion (arxiv.org)

Moral Entropy: Auditing Bias and Uncertainty in Moral Judgment (arxiv.org)

Robust Mixture Models for Algorithmic Fairness Under Latent Heterogeneity (arxiv.org)

Near-Universal Multiplicative Updates for Nonnegative Einsum Factorization (arxiv.org)

Trajectory Entropy Reinforcement Learning for Robust Robot Motor Skill Learning (arxiv.org)

Value-Sensitive Delegation in Everyday AI Agent Use: Evidence from OpenClaw (arxiv.org)

Listen Before You Speak: Response Planning from Listener Facial Reactions for Conversational Speech Generation (arxiv.org)

World Modeling in Transformers (arxiv.org)

RBS-Attention: Radius-Bounded Sparse Prefill for Long-Context Large Language Models (arxiv.org)

Attention-Aware Routing: Coupling Routing and Attention in MoEs (arxiv.org)

CaLR: Causal Latent Revision for Robust Diffusion Reasoning (arxiv.org)

LoRA Enhanced Contrastive Learning with SAS Vision Transformers (arxiv.org)

Detecting Hallucination in LLMs: Tracing the Topological Signatures of Impaired Context Sharing (arxiv.org)

Decoupling Internal Representational Changes and Causal Importance in Fine-Tuned Large Language Models (arxiv.org)

TinyCeNN-LM: Quality-Gated Conversion of Pretrained Attention with CeNN-Inspired Cellular-Recurrent Layers (arxiv.org)

Near-Optimal Acceleration for Smooth $\ell_p$ / $\ell_q$ Nondual Convex First-Order Oracle Optimization (arxiv.org)

Do Quantum Models Scale Like LLMs? (arxiv.org)

REFINEPPO: Learning Continuous Control Policies by Iterative Action Refinement (arxiv.org)

ASGARD: Action-Space Guard for UAV Resilience via Reinforcement Learning (arxiv.org)

Clinician-Grounded Quality Assurance for AI-Assisted Psychiatric Intake (arxiv.org)

Can Agents Design Better Chips with a Higher Level Abstraction? (arxiv.org)