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Latest Research — Page 33

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• Flipping the Dialogue: Training and Evaluating User Language Models
• Telling Speculative Stories to Help Humans Imagine the Harms of Healthcare AI
• Exploration Through Introspection: A Self-Aware Reward Model
• Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation
• NeAR: Coupled Neural Asset-Renderer Stack
• Connecting the Dots: A Machine Learning Ready Dataset for Ionospheric Forecasting Models
• Learning Peer Influence Probabilities with Linear Contextual Bandits
• Empowering Decision Trees via Shape Function Branching
• When Helpers Become Hazards: A Benchmark for Analyzing Multimodal LLM-Powered Safety in Daily Life
• Enhancing Diffusion Model Guidance through Calibration and Regularization
• VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models
• DynamicRTL: RTL Representation Learning for Dynamic Circuit Behavior
• Reward Modeling for Scientific Writing Evaluation
• Efficient Clustering with Provable Guardrails for LLM Inference at Scale
• Clinical Pathways as Safety Specifications for Physical AI in Hospital Wards
• Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation
• MoralReason: Generalizable Moral Decision Alignment For LLM Agents Using Reasoning-Level Reinforcement Learning
• MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning
• Bayesian Coreset Optimization for Personalized Federated Learning
• A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data
• Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders
• Agentic Evaluation of Copyright Law Compliance
• Language-Independent Sentiment Labelling with Distant Supervision: A Case Study for English, Sepedi and Setswana
• Defect-aware Hybrid Prompt Optimization via Progressive Tuning for Zero-Shot Multi-type Anomaly Detection and Segmentation
• TabRAG: Improving Tabular Document Question Answering for Retrieval Augmented Generation via Structured Representations
• VMDT: Decoding the Trustworthiness of Video Foundation Models
• Terminal Velocity Matching
• NeurIPT: Foundation Model for Neural Interfaces
• Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance?
• ReX-MLE: The Autonomous Agent Benchmark for Medical Imaging Challenges
• OSWorld-Pro: Process-based Evaluation for Computer Use Agents
• Distribution Matching Distillation Meets Reinforcement Learning
• Multimodal Continual Learning with MLLMs from Multi-scenario Perspectives
• Temporal Slowness in Central Vision Drives Semantic Object Learning
• Pre to Post-Treatment Glioblastoma MRI Prediction using a Latent Diffusion Model
• Mixture of States: Routing Token-Level Dynamics for Multimodal Generation
• On the Fundamental Limits of LLMs at Scale
• Scalable Exploration for High-Dimensional Continuous Control via Value-Guided Flow
• Toward Culturally Aligned LLMs through Ontology-Guided Multi-Agent Reasoning
• Think-at-Hard: Dynamic Looped Transformers for Improved Reasoning