AI News

Learning Doubly Sparse Explicitly Conditioned Transforms (arxiv.org)

Beyond Uniform Token-Level Trust Region in LLM Reinforcement Learning (arxiv.org)

ReflectiChain: Epistemic Grounding in LLM-Driven World Models for Supply Chain Resilience (arxiv.org)

MoE Enhanced Federated Learning for Spatiotemporal Prediction (arxiv.org)

Achieving Cloud-Grade SLOs for Local Mixture-of-Experts Inference through CPU-GPU Hybrid Design (arxiv.org)

Stop Early, Spend Less: Hidden-State Probes as a Practical Recipe for Streaming Moderation of LLM Outputs (arxiv.org)

Population-Aware Physics-Informed Neural Particle Flow for Bayesian Update (arxiv.org)

Boosting ECG Classification Performance by Pre-training with Synthesized Data (arxiv.org)

CITRAS-FM: Tiny Time Series Foundation Model for Covariate-Informed Zero-Shot Forecasting (arxiv.org)

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data (arxiv.org)

UPLOTS: A Unified Pretrained Language Model for Constrained Time-series Generation (arxiv.org)

Expert-Level Crisis Detection in Mental Health Conversations (arxiv.org)

Test-time Adversarial Takeover: A Real-time Hijacking Interface against Robotic Diffusion Policies (arxiv.org)

Speech Meets ELF: Audio Conditional Continuous-Target Diffusion for Speech Recognition and Translation (arxiv.org)

Advancing the State-of-the-Art in Empirical Privacy Auditing (arxiv.org)

Can we trust our models? Epistemic calibration in second-order classification (arxiv.org)

Inverse Probability Weighting and Age-of-Information Aggregation for Decentralized Federated Learning under Partial Reception (arxiv.org)

N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy Optimization (arxiv.org)

Divide and Cooperate: Role-Decomposed Multi-Agent LLM Training with Cross-Agent Learning Signals (arxiv.org)

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)

A Unified Adaptive Feature Composition Framework for Multi-Task Generalization in Wireless Foundation Models (arxiv.org)

Multi-Level Analyzation of Imbalance to Resolve Non-IID-Ness in Federated Learning (arxiv.org)

When Design Rules Break: Benchmark Composition Determines Whether Label Informativeness Predicts GNN Aggregator Choice (arxiv.org)