AI News

Decomposition-Guided Diffusion Language Models for Inertial Confinement Fusion Prediction (arxiv.org)

LOBERT: Generative AI Foundation Model for Limit Order Book Messages (arxiv.org)

A Theoretical Analysis of Generalization Dynamics in Neural Networks under Gradient Descent with Weight Decay (arxiv.org)

AI for AI: Optimizing Additional Infrastructure Build-out to Power Artificial Intelligence Data Centers (arxiv.org)

WSPolypNet: Weakly Supervised Polyp Localization in Colonoscopy Videos (arxiv.org)

3DWay: Generalizing Robot Manipulation via 3D Consistent Waypoints (arxiv.org)

CS-CLIP: Compositional Scene Graph-guided CLIP for Robust Compositional Reasoning (arxiv.org)

X2Streaming-ASR: wait when uncertain, emit when ready for streaming ASR (arxiv.org)

Local gradient neural operator (arxiv.org)

CALIPER: Clean Scenes Cannot Rank Physical Inference in Pretrained Visual Representations (arxiv.org)

ACEA: An Adversarial Co-Evolution Arena for Head-to-Head Red-Team and Blue-Team LLM Testing (arxiv.org)

What Eviction Destroys: A Restore-Counterfactual Audit of Forgetting in Agent Memory (arxiv.org)

FPicker: Topology-Guided Evolution for Filament Tracing in Low-SNR Microscopy (arxiv.org)

Guiding Worker Self-Selection in Crowdsourcing Contests: An LLM-Augmented Algorithmic Approach (arxiv.org)

A Measurement Study of LLM Inference Trade-offs Across Edge Continuum Hardware (arxiv.org)

Attributing Cohen's d: Training Data Attribution for Disease-Related Effects in Normative Age Biomarkers (arxiv.org)

ParetoTransport: Generative Optimization by Mass Transport Toward The Pareto Front (arxiv.org)

Emergent Charging Coordination in Electric Delivery Fleets (arxiv.org)

Exploring Bottom-Up Clustering for Creating Semantic IDs (arxiv.org)

AttnCompress: Dynamic Attention-Guided Trajectory Compression for Software Engineering Agents (arxiv.org)

Tracing Stereotypes from Representation to Output in Multilingual LLMs (arxiv.org)

On the Recall Scaling Laws in Mamba: A Theoretical and Mechanistic Study via Hashing (arxiv.org)

MpSub: A Momentum $p$-Dimensional Subspace Trust-Region Method for Derivative-Free Fine-Tuning of Large Language Models (arxiv.org)

Accuracy is Not Enough: A Divergence-Based Approach to Evaluate Fidelity Loss in Quantized LLMs (arxiv.org)

Online Surrogate Repair: Decoupling High-Fidelity Feedback from Search Length in Closed-Loop Discovery (arxiv.org)

CASD: Chunk-Aligned Semantic Distillation for Multi-StageRobot Manipulation (arxiv.org)

Translation of Black-Box Clinical Prediction Models into Standalone Transparent Nomograms: Temporal External Validation in Heart Transplantation (arxiv.org)

CLUES-WEASEL: No additional clues required to choose your time series clustering algorithm (arxiv.org)

Beyond the Matrix Sign: Quadratic Spectral Descent (arxiv.org)

I Don't Miss You, but I Do: Self-Explanation Faithfulness of Modality Missingness in Vision-Language Models (arxiv.org)

We Built a Mirror and Mistook It for a Mind: Causal Liability and the Fallacy of AI Consciousness (arxiv.org)

A Multi-Modal Perception Pipeline for Object Detection and Tracking in Autonomous Racing (arxiv.org)

Multi-Task Learning for Sparsely-Labeled Time Series: A Case Study on Cold-Hardiness Modeling (arxiv.org)

ThinkPrior: Zero-Rollout Difficulty Priors for Cold-Start Prompt Selection in RLVR (arxiv.org)

Who Maintains Agent Skills? A Longitudinal Study of Human-Governed, AI-Assisted Skill Maintenance (arxiv.org)

Curriculum Learning as Transport: Understanding Curricula with Wasserstein Geodesics (arxiv.org)

Full-Page Optical Music Recognition of Handwritten Monophonic Scores (arxiv.org)

TamilEOT: A Dataset and Model for Semantic End-of-Turn Detection in Tamil Telephone Speech (arxiv.org)

The Role of Gradient Modification in Heavy-Tailed Nonconvex Stochastic Min-Max Optimization (arxiv.org)

When Does Scale-Invariant Optimization Become Unstable? An Exact Schedule Law with Weight Decay (arxiv.org)

Nearly Tight Rademacher Bounds for Sparsely Activated Neural Networks (arxiv.org)

Entropy-Regularized Rank-Masked Policy Optimization for Test-Time Reinforcement Learning in Code Generation (arxiv.org)

NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting (arxiv.org)

Learning Length-Extrapolatable Recurrent Models (arxiv.org)

Rethinking One-Shot Federated Graph Learning: Training-Free Statistical Estimation (arxiv.org)

Compressed Recurrent Feedback in Tsetlin Machines: A Reproducible Boolean-FSM Study (arxiv.org)

Sparse Incident-Cluster Learning for 12-hour Port Flood Pre-warning in Digital-Twin Analytics (arxiv.org)

Condition aware learning enables robust prediction of oligonucleotide melting behavior across diverse chemistries and assay conditions (arxiv.org)

DataFlex-RL: An Evaluation Platform for RLVR Data Policies (arxiv.org)

Benchmarking Storage Systems for Machine Learning Workloads Using NIO Bench (arxiv.org)