AI News

Convergence Rates for Neural-Network Estimation with Current-Status Data (arxiv.org)

A Practical Recipe Towards Improving Sim-and-Real Correlation for VLA Evaluation (arxiv.org)

Hierarchical Policies from Verbal and Egocentric Human Signals for Natural Human-Robot Interaction (arxiv.org)

What Matters in Orchestrating Robot Policies: A Systematic Study of Hierarchical VLA Agents (arxiv.org)

Linguistically Augmented Audio Speech Data (LinguAS) (arxiv.org)

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection (arxiv.org)

One Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series Data (arxiv.org)

In Defense of Information Leakage in Concept-based Models (arxiv.org)

How Does Reasoning Flow? Tracing Attention-Induced Information Flow for Targeted RL in LLMs (arxiv.org)

It\^o maps for any-step SDEs (arxiv.org)

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs (arxiv.org)

Mitigating Bias in Low-SNR Financial Reinforcement Learning via Quantum Representations (arxiv.org)

SpenseGPT: Practical One-shot Pruning Enabling Sparse and Dense GEMMs for LLM Inference (arxiv.org)

Parallel Causal Associative Fields: Gated Sparse Memory for Long-Context Language Modeling (arxiv.org)

SHAPO: Sharpness-Aware Policy Optimization for Safe Exploration (arxiv.org)

Dual-Branch Gated Fusion for Open-Set Audio Deepfake Source Tracing (arxiv.org)

Fast Exact Nearest-Neighbor Learning for High-Frequency Financial Time Series (arxiv.org)

A Source Domain is All You Need: Source-Only Cross-OS Transfer Learning for APT Anomaly Detection via Semantic Alignment and Optimal Transport (arxiv.org)

Automated Pronunciation Evaluation for Korean Toddler Speech using Speech Diarization and Self-Supervised Learning (arxiv.org)

KG-SoftMAP: Soft Knowledge-Graph Priors for Bayesian Network Structure Learning from Sparse Discrete Data (arxiv.org)

Beyond Explaining Predictions: Logic-Based Explanations for Confidence in Machine Learning Models (arxiv.org)

Privacy-Preserving Credit Risk Prediction with Alternative Data (arxiv.org)

Rank Collapse, Fixed Points, and the Renormalization Group Structure of MLP Residual Networks (arxiv.org)

Dropout-GRPO: Variational Stochasticity for Continuous Latent Reasoning (arxiv.org)

Making Time Editable in Video Diffusion Transformers (arxiv.org)

Flow Control: Steering Vision-Language-Action Models with Simple Real-Time Inputs (arxiv.org)

Local Is Not a Sufficient Privacy Boundary: Governing OS-Integrated On-Device AI (arxiv.org)

Gaming AI-Assisted Peer Reviews Poses New Risks to the Scientific Community (arxiv.org)

Influence Dynamics and Stagewise Data Attribution (arxiv.org)

CITRAS: Covariate-Informed Transformer for Time Series Forecasting (arxiv.org)

FreshRetailNet-LT: A Stockout-Annotated Censored Demand Dataset for Latent Demand Recovery and Forecasting in Fresh Retail (arxiv.org)

A Machine Learning Theory Perspective on Strategic Litigation (arxiv.org)

Fact-Augmented Lookahead Planning for LLM Agents (arxiv.org)

QSplitFL: Capability Aware Deep Q-Learning for Optimal Split Point Selection in Split Federated Learning (arxiv.org)

SPACE: Source-free Proxy Anchor Concept Erasure for MLLMs (arxiv.org)

When Distance Distracts: Representation Distance Bias in BT-Loss for Reward Models (arxiv.org)

Model-Based Reinforcement Learning in Discrete-Action Non-Markovian Reward Decision Processes (arxiv.org)

SCOPE: Sequential Causal Optimization of Process Interventions (arxiv.org)

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance (arxiv.org)

Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning (arxiv.org)

LLM-as-a-Discriminator: When Synthetic Tables Still Look Real (arxiv.org)

Rethinking the Flow-Based Gradual Domain Adaptation: A Semi-Dual Optimal Transport Perspective (arxiv.org)

Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs (arxiv.org)

MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning (arxiv.org)

Synthesizable Molecular Generation via Soft-constrained GFlowNets with Rich Chemical Priors (arxiv.org)

DAH-Net: A Dual-Attention Hybrid Network for Interpretable and Robust EEG-Based Emotion Recognition (arxiv.org)

Exploring the Design Space of Reward Backpropagation for Flow Matching (arxiv.org)

Unifying Local Communications and Local Updates for LLM Pretraining (arxiv.org)

Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning (arxiv.org)

Efficiently Learning Drifting Halfspaces with Massart Noise (arxiv.org)