AI News

PPIM: Pennes Physics-Informed Mamba for Heat-Source-Conditioned 3D Bioheat Simulation (arxiv.org)

Feature Superposition in Neural Networks: From Theory to Practice (arxiv.org)

Constrained Bayesian Optimization for Hierarchical Federated Learning in IoT Networks for Plant Disease Classification (arxiv.org)

Train Smarter, Not Harder: Switching Signal-Guided Training in Active Learning (arxiv.org)

HealthLoopQA: A Context-Aware Question Answering Benchmark for Interpreting Wearable Monitoring Data in Diabetes Care (arxiv.org)

Online Draft Co-Training for Speculative Decoding in Large-Scale, Long-Context RL Post-Training (arxiv.org)

When Retain Constraints Conflict: Mitigating Forget-Retain Interference in Tabular Data (arxiv.org)

DrugReason: Dynamic Multi-View Reasoning over Knowledge Graph and Language Evidence for Drug Repurposing (arxiv.org)

LATS: Levy Adaptive Tree Sampling for Feedback-Driven Diverse Target Discovery (arxiv.org)

Tracking the Moving Frontier: Long-Short Term Advantage Estimator (arxiv.org)

Data Efficient Sample Selection for In-Context Learning (arxiv.org)

Towards Unified Multimodal Graph Foundation Model: A Bridge-Router-Adapter Based Approach (arxiv.org)

Behavioral Cloning Outperforms Entropy-Regularized RL: Critic-Driven Failure of Actor-Critic Methods on Adaptive Tumor Treatment (arxiv.org)

Assessing Covariate-Informed Grid Load Forecasting with a Time-Series Foundation Model (arxiv.org)

SwiftExplorer: Training-free Diffusion Model Alignment with Swift Diversity Exploration (arxiv.org)

A Statistical and Machine Learning Framework for Quantifying Offensive Impact in Professional Box Lacrosse (arxiv.org)

Deep Barycentric Regression for Optimal Transport Map Estimation and its Statistical Optimality (arxiv.org)

Layer-Wise Gate-Controlled Prompt Truncation in a Multimodal Chest X-Ray Classifier (arxiv.org)

Hidden in Plain Sight: The Overlooked Significance of Canonical Elements for Extreme LLM Sparsity (arxiv.org)

Not Just Oversmoothing: Detecting the Echo Chamber Effect in Graph Neural Networks (arxiv.org)

Role-Specific Predictive Geometries for Nonstationary Multivariate Graph-Signal Forecasting (arxiv.org)

Structural Entropy-Driven Graph Diffusion Generation for One-Shot Federated Graph Learning (arxiv.org)

Power Mean Estimation in Stochastic Continuous Monte Carlo Tree Search (arxiv.org)

Second-Order Smooth Planning with Optimal-Transport Bellman Smoothing (arxiv.org)

Inducing Emergent Misalignment from Reward Hacks with Iterative DPO (arxiv.org)

How Does Parameter Pruning Reshape DNN Representations? An Interaction-Driven Exploration (arxiv.org)

Learning Kernels by Alignment for Multiclass Bayes Classification (arxiv.org)

LEBGen: An LLM-Enhanced Bayesian Network Framework for Few-Shot Travel Survey Data Generation (arxiv.org)

WolfSociety: Understanding Collective Risk from Harmful-Agent Scaling in Financial Agent Societies (arxiv.org)

ViT3Flow: A Test-Time Training Transformer MeanFlow for Postoperative Radiograph Synthesis in Scoliosis (arxiv.org)

An Agent Model Abstraction for Human-AI Teaming Cognitive Coupling (arxiv.org)

Subject-Relative Micro-Motion and Sleep Dynamics for Near-Infrared Video Sleep Staging (arxiv.org)

Knowing When Not to Answer: Abstention and Refusal Reasoning in Vision--Language Models (arxiv.org)

Dual-Latent Memory Routing for Vision-Language Reasoning (arxiv.org)

Beyond the Verdict: Evidence-Aligned Evaluation of Visual Prompt-Injection Guardrails (arxiv.org)

When Agent Governance Helps (arxiv.org)

DART: A DAG-Based Reputation and Incentive Framework via Blockchain-Enabled Governance for Trustworthy LLM Multi-Agent Collaboration (arxiv.org)

Diffusion models for eye-gaze trajectory generation using position and velocity representations (arxiv.org)

Situation Awareness for Intelligent Data Distribution in Connected Vehicles (arxiv.org)

CrossModalQA: A Cross-modal and Multi-hop Benchmark for Multimodal Retrieval-augmented Generation (arxiv.org)

Emergent Goal-Directed Attention in Large Vision-Language Models (arxiv.org)

Data-driven rational function neural networks: a new method for generating analytical models of rock physics (arxiv.org)

A Data-Driven Framework for Identifying and Prioritizing RPA Opportunities in Healthcare Processes (arxiv.org)

Co-Evolving Harnesses and Models: On-Policy Correction Helps Weaker Models Catch Up Where Imitation Fails (arxiv.org)

ExecCritic: Learn to Test, Test to Improve for Coding Agents (arxiv.org)

A Generalization of Amari's Bayesian Duality (arxiv.org)

MeClear: Cooperative Game-Theoretic Attribution and Risk-Aware Memory Clearance for Long-Horizon LLM Agents (arxiv.org)

SAEScientist-Bench: Can AI Agents Conduct Autonomous SAE Interpretability Research? (arxiv.org)

The Surprising Effectiveness of Approximate Value Iteration in Self-Play (arxiv.org)

Everything in Moderation: Per-Domain Coverage Optima and Alignment-Resistant Domain Gaps in Multi-Domain Mid-Training (arxiv.org)