https://validator.w3.org/feed/docs/rss2.html Predicting new research directions in materials science using large language models and concept graphs Bridging Natural Language and Microgrid Dynamics: A Context-Aware Simulator and Dataset Pramana: Fine-Tuning Large Language Models for Epistemic Reasoning through Navya-Nyaya Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation Adaptive Stopping for Multi-Turn LLM Reasoning On the Step Length Confounding in LLM Reasoning Data Selection Governance and Regulation of Artificial Intelligence in Developing Countries: A Case Study of Nigeria Agents for Agents: An Interrogator-Based Secure Framework for Autonomous Internet of Underwater Things High-Precision Estimation of the State-Space Complexity of Shogi via the Monte Carlo Method On the Robustness of Diffusion-Based Image Compression to Bit-Flip Errors Learned Elevation Models as a Lightweight Alternative to LiDAR for Radio Environment Map Estimation Controllable Singing Style Conversion with Boundary-Aware Information Bottleneck Vero: An Open RL Recipe for General Visual Reasoning Commercial Persuasion in AI-Mediated Conversations In-Context Decision Making for Optimizing Complex AutoML Pipelines Graphic-Design-Bench: A Comprehensive Benchmark for Evaluating AI on Graphic Design Tasks Beyond Message Passing: A Semantic View of Agent Communication Protocols IC3-Evolve: Proof-/Witness-Gated Offline LLM-Driven Heuristic Evolution for IC3 Hardware Model Checking Q-Probe: Scaling Image Quality Assessment to High Resolution via Context-Aware Agentic Probing Can VLMs Unlock Semantic Anomaly Detection? A Framework for Structured Reasoning FBS: Modeling Native Parallel Reading inside a Transformer Better Rigs, Not Bigger Networks: A Body Model Ablation for Gaussian Avatars Rethinking Forward Processes for Score-Based Data Assimilation in High Dimensions Toward an Artificial General Teacher: Procedural Geometry Data Generation and Visual Grounding with Vision-Language Models Attention at Rest Stays at Rest: Breaking Visual Inertia for Cognitive Hallucination Mitigation Holos: A Web-Scale LLM-Based Multi-Agent System for the Agentic Web MemFactory: Unified Inference & Training Framework for Agent Memory Detection of Adversarial Attacks in Robotic Perception A conversational multi-agent AI system for automated plant phenotyping Time is Not Compute: Scaling Laws for Wall-Clock Constrained Training on Consumer GPUs Scalable Pretraining of Large Mixture of Experts Language Models on Aurora Super Computer Routing-Free Mixture-of-Experts From Density Matrices to Phase Transitions in Deep Learning: Spectral Early Warnings and Interpretability How Emotion Shapes the Behavior of LLMs and Agents: A Mechanistic Study The Energy Footprint of LLM-Based Environmental Analysis: LLMs and Domain Products Pseudo Label NCF for Sparse OHC Recommendation: Dual Representation Learning and the Separability Accuracy Trade off 6GAgentGym: Tool Use, Data Synthesis, and Agentic Learning for Network Management Universal restoration of medical images ModernBERT is more efficient than conventional BERT for chest CT findings classification in Japanese radiology reports Concept frustration: Aligning human concepts and machine representations Agenda-based Narrative Extraction: Steering Pathfinding Algorithms with Large Language Models ZeroFlood: Flood Hazard Mapping from Single-Modality SAR Using Geo-Foundation Models Real-Time Driver Safety Scoring Through Inverse Crash Probability Modeling Evaluation of Generative Models for Emotional 3D Animation Generation in VR LLM-Meta-SR: In-Context Learning for Evolving Selection Operators in Symbolic Regression A Convex Route to Thermomechanics: Learning Internal Energy and Dissipation ChartDiff: A Large-Scale Benchmark for Comprehending Pairs of Charts Two-dimensional geometric template diffusion for boosting single-sequence protein structure prediction A diffusion model conditioned on compound bioactivity profiles for generating high-content images Representation learning to advance multi-institutional studies with electronic health record data from US and France