AI News

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)

Representation Curriculum: Stagewise Training for Robust Ranking and Allocation (arxiv.org)

SynIB: Informational Bottleneck for Maximizing Synergy in Multimodal Learning (arxiv.org)

Uncertainty-aware Multi-fidelity Closure via Conditional Normalizing Flows (arxiv.org)

Mitigating Manifold Departure: Uncertainty-Aware Subspace Rectification for Trustworthy MLLM Decoding (arxiv.org)

TD-Grokking: Learning from Zero-Reward Problems by Training-Time Decomposition (arxiv.org)

AI-Driven Analytics of Team-Teaching Talk: Acoustic Patterns across Experience, Cohorts and the Learning Design (arxiv.org)

Agentic Social Affordance Framework (ASAF): Agent Identity Design as a Collaboration Interface in Multi-Agent Systems (arxiv.org)

CollabSkill: Evaluating Human-Agent Collaboration On Real-World Tasks (arxiv.org)

Self-EmoQ: Plutchik-Guided Value-based Planning to Drive Streaming Emotional TTS (arxiv.org)

Failure Modes of Deep Multi-Agent RL in Asynchronous Pricing: Reproducible Triggers, Trace Diagnostics, and a Partial Fix (arxiv.org)

Integrated Real-Time Motion Tracking and AI Analysis for Athletic Performance Optimization (arxiv.org)

An LLM-Native Psychometric Instrument Does Not Predict LLM Behavior: Evidence Across 25 Models (arxiv.org)

The Interlocutor Effect: Why LLMs Leak More Personal Data to Agents Than Humans (arxiv.org)

CANVAS: Captioning Art with Narrative Visual-Audio AI Systems (arxiv.org)

Hyperbolic Neural Population Geometry Benefits Computation (arxiv.org)

Conformal Risk Prediction for Non-Alcoholic Fatty Liver Disease Using Gradient Boosting with Distribution-Free Coverages (arxiv.org)

Time Series as Language: A Universal Tokenizer for General-Purpose Time Series Foundation Models (arxiv.org)

Blurry Window Attention (arxiv.org)

From Confident Closing to Silent Failure: Characterizing False Success in LLM Agents (arxiv.org)

Alignment Collapse Under KV Cache Quantization: Diagnosis and Mitigation (arxiv.org)

SHAPE: Coalition-Aware Expert Pruning for Sparse Mixture-of-Experts LLMs (arxiv.org)

SocraticPO: Policy Optimization via Interactive Guidance (arxiv.org)

PreAct-Bench: Benchmarking Predictive Monitoring in LLMs (arxiv.org)

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