https://validator.w3.org/feed/docs/rss2.html LEAP: Lean Environment-Feedback via Adaptive Pruning for Code RL in GPU Kernel Generation Studying People to Study AI: Expert Perspectives on the Epistemic Fit and Barriers of Human Research in AI Safety & Ethics From Operational Design Domain to Action: A Systematic Behavioral Taxonomy for Autonomous Driving SMOPD: Multi-Reward Reinforcement Learning via Specialize-and-Merge Online Policy Distillation Do AI Forecast Ensembles Sample the Correct Conditional Distribution? SCALE: Scientific Concept Aggregation via LLMs and Embeddings for Fine-Grained Taxonomy Extension Towards an Argumentative Foundation for Evaluative AI FakeI2V-Bench: Benchmarking the Applicability of Image-level Deepfake Detectors for Deepfake Video Detection HyTBE: Hyperbolic Target-Background Expert Model for Cross-Domain Infrared Small Target Detection PHASE-Tree: Modeling Character-State Evolution in Long-Horizon Role-Playing Dialogue HarnessSafe: Evaluating Safety Across Persistent Carriers in Agent Harnesses Audio-to-Score Transcription using Pre-trained Features, Data Augmentation, and the New SheetSage-A2S Dataset Machine learning-based classification of diabetes mellitus using sociodemographic, behavioral, and clinical predictor ISEE: Interactive Semantic Enrichment for Database Fields Towards Multi-Label Graph Foundation Models: from Single-Vector Representation Learning to Multi-Semantic Basis Learning PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs MRICombo: a deep-learning-based framework for universal volumetric segmentation grading-staging and malignancy detection across heterogeneous MRI RepoProbe: Benchmarking Architecture-Aware Repository Comprehension with Checklists Answer First, Reason Later: Commitment Order in Diffusion LLMs A Blind Spot in Alignment: Quantifying Biosecurity Risks in Large Language Models Spectral Aliasing Pretext: A novel task for Self-Supervised fault diagnosis in rotating machinery Guideline-as-Oracle: Zero-Annotation Training of an Ophthalmic Telephone Triage Agent IMFACT: Counterfactual Explanations for Time Series via Intrinsic Mode Function Substitution GPTKB 2.0: Direct Construction of Disambiguated Knowledge Bases from Large Language Models A Long-Run Persistence Theory for AI Systems under the Redundancy-Adjusted Artificial Age Score (AAS) Inference of tumor spatial habitats AI agents are checking the scientific literature — and spotting decades-old errors AI-based augmentation of oncology clinical trials The Virtual Tissues foundation model resolves spatial proteomics across scales Trajectory forecasting lifts the femtosecond ceiling in molecular simulation LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents Deep-learning-enabled multi-omics analyses for prediction of future metastasis in cancer Agentic Nesting: A New Methodology for Existing Enterprise Application Integration and Services Stable Autoregressive Speech Generation with Low-Frame-Rate High-Dimensional Continuous Tokens Dynamic feature pyramid network for real-time gesture recognition Dense Temporal Contrast Synthesis via Conditioned Latent Transport On a joint simultaneous learning of relevant feature subsets and subspaces in regression-like problems OpenClaw and Ollama in Agentic AI: Toward Fully Autonomous and Scalable AI Agent Systems Tools Are Not Islands: Set-Level Tool Retrieval for LLM Agents via Query-Conditioned Hyperedge Prediction SymmGrid: Super-Scaling On-Robot Learning with Parallelized Symmetries and Egocentric-Exocentric Visual Perception BayesAME: Bayesian Active Model Evaluation Knowledge-Guided Multimodal Reasoning over Interacting Streams for Video-Level Ambivalence and Hesitancy Recognition Probing the Origins of Reasoning Performance: Representational Quality for Mathematical Problem-Solving in RL vs. SFT Fine-Tuned Models A machine learning framework for predicting and modulating condition-dependent protein phase separation Learning from routine health system data builds better neuroimaging AI models Unify learns cellular evolution with universal multimodal embeddings Scientists using LLMs will ‘do more, less well’, modelling study predicts Continual integration of single-cell multimodal data with MIRACLE Deep learning prediction of left atrial structure and function from 12-lead electrocardiograms OPD-V: Visual On-Policy Self-Distillation with Modality Balance