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Latest Research — Page 109

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• Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models
• FTT-GRU: A Hybrid Fast Temporal Transformer with GRU for Remaining Useful Life Prediction
• No-Human in the Loop: Agentic Evaluation at Scale for Recommendation
• How Data Quality Affects Machine Learning Models for Credit Risk Assessment
• The Greedy Advantage in Finite-Horizon Bandits
• H2AL: Hyperbolic Hierarchy-aware Aggregative Learning for Registration-based Few-shot Medical Image Segmentation
• Segment Anything Across Shots: A Method and Benchmark
• Epistemic-aware Vision-Language Foundation Model for Fetal Ultrasound Interpretation
• Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection
• Generative Bayesian Optimization: Generative Models as Acquisition Functions
• Cross-modal Proxy Evolving for OOD Detection with Vision-Language Models
• Optimizing Agentic Reasoning with Retrieval via Synthetic Semantic Information Gain Reward
• Robust Alignment of the Human Embryo in 3D Ultrasound using PCA and an Ensemble of Heuristic, Atlas-based and Learning-based Classifiers Evaluated on the Rotterdam Periconceptional Cohort
• Demystifying Transition Matching: When and Why It Can Beat Flow Matching
• TimeViper: A Hybrid Mamba-Transformer Vision-Language Model for Efficient Long Video Understanding
• Detoxifying Toxic Communication: A Design Science Approach to Responsible AI
• Do Not Step Into the Same River Twice: Learning to Reason from Trial and Error
• Sound Clouds: Exploring ambient intelligence in public spaces to elicit deep human experience of awe, wonder, and beauty
• DataCube: A Video Retrieval Platform via Natural Language Semantic Profiling
• When AI Does the Work, What Is Learning For? Post-Instrumental Learning and the Risk of Capacity Dissolution
• Boosting Medical Visual Understanding From Multi-Granular Language Learning
• Flexible Concept Bottleneck Model
• Quantum-Inspired Modeling of Driving Behavior
• VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection
• Adaptive Evidential Learning for Temporal-Semantic Robustness in Moment Retrieval
• SIMPACT: Simulation-Enabled Action Planning using Vision-Language Models
• LungNoduleAgent: A Collaborative Multi-Agent System for Precision Diagnosis of Lung Nodules
• Do It for HER: First-Order Temporal Logic Reward Specification in Reinforcement Learning (Extended Version)
• ReCAP: Recursive Context-Aware Reasoning and Planning for Large Language Model Agents
• A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
• Generalization Beyond Benchmarks: Evaluating Learnable Protein-Ligand Scoring Functions on Unseen Targets
• On the Koopman-Based Generalization Bounds for Multi-Task Deep Learning
• Towards Personalized Quantum Federated Learning for Anomaly Detection
• DARTS: Decoder-Aware Representation Tuning via Surgery for Model Merging
• Structural Plasticity as Active Inference: A Biologically-Inspired Architecture for Homeostatic Control
• Reconstruction and Secrecy under Approximate Distance Queries
• World-in-World: World Models in a Closed-Loop World
• DisasterInsight: A Multimodal Benchmark for Function-Aware and Grounded Disaster Assessment
• Learning from the Undesirable: Robust Adaptation of Language Models without Forgetting
• Hallucination is a Consequence of Space-Optimality: A Rate-Distortion Theorem for Membership Testing