Showing 41–60 of 2,256 results
/ Date/ Name
Apr 24, 2026Protect the Brain When Treating the Heart: A Convolutional Neural Network for Detecting EmboliApr 24, 2026A Probabilistic Framework for Hierarchical Goal RecognitionApr 24, 2026Navigating Large-Scale Document Collections: MuDABench for Multi-Document Analytical QAApr 24, 2026Tell Me Why: Designing an Explainable LLM-based Dialogue System for Student Problem Behavior DiagnosisApr 24, 2026Learning-augmented robotic automation for real-world manufacturingApr 24, 2026Preserve Support, Not Correspondence: Dynamic Routing for Offline Reinforcement LearningApr 24, 2026A Co-Evolutionary Theory of Human-AI Coexistence: Mutualism, Governance, and Dynamics in Complex SocietiesApr 24, 2026Verbal Confidence Saturation in 3-9B Open-Weight Instruction-Tuned LLMs: A Pre-Registered Psychometric Validity ScreenApr 24, 2026UniSonate: A Unified Model for Speech, Music, and Sound Effect Generation with Text InstructionsApr 24, 2026Evaluating LLM-Based Goal Extraction in Requirements Engineering: Prompting Strategies and Their LimitationsApr 24, 2026An LLM-Driven Closed-Loop Autonomous Learning Framework for Robots Facing Uncovered Tasks in Open EnvironmentsApr 24, 2026From Global to Local: Rethinking CLIP Feature Aggregation for Person Re-IdentificationApr 24, 2026ResRank: Unifying Retrieval and Listwise Reranking via End-to-End Joint Training with Residual Passage CompressionApr 24, 2026ReCast: Recasting Learning Signals for Reinforcement Learning in Generative RecommendationApr 24, 2026Estimating Tail Risks in Language Model Output DistributionsApr 24, 2026GenMatter: Perceiving Physical Objects with Generative Matter ModelsApr 24, 2026PrivSTRUCT: Untangling Data Purpose Compliance of Privacy Policies in Google Play StoreApr 24, 2026Reliable Self-Harm Risk Screening via Adaptive Multi-Agent LLM SystemsApr 24, 2026When AI Speaks, Whose Values Does It Express? A Cross-Cultural Audit of Individualism-Collectivism Bias in Large Language ModelsApr 23, 2026Emergent Strategic Reasoning Risks in AI: A Taxonomy-Driven Evaluation Framework