Reinforcement Learning

Think&Cite: Improving Attributed Text Generation with Self-Guided Tree Search and Progress Reward Modeling ACL 2025 Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement ACL 2025 ThinkTuning: Instilling Cognitive Reflections without Distillation EMNLP 2025 Think Wider, Detect Sharper: Reinforced Reference Coverage for Document-Level Self-Contradiction Detection EMNLP 2025 ThoughtSculpt: Reasoning with Intermediate Revision and Search NAACL 2025 Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves AAAI 2025 Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning AAAI 2025 TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights ICLR 2025 TITAN-Guide: Taming Inference-Time Alignment for Guided Text-to-Video Diffusion Models ICCV 2025 To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization ACL 2025 Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models IJCAI 2025 To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning AAAI 2025 Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards CVPR 2025 Towards Better Robot Learners: Leveraging Implicit and Explicit Human Feedback Together in Human Robot Interactions AAAI 2025 Towards Building Human-like Smart Agents in Modern 3D Video Games (Student Abstract) AAAI 2025 Towards Human Understanding of Paraphrase Types in Large Language Models COLING 2025 Towards Long-Horizon Vision-Language Navigation: Platform, Benchmark and Method CVPR 2025 Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets AAAI 2025 Training-free Generation of Temporally Consistent Rewards from VLMs ICCV 2025 Training Language Model to Critique for Better Refinement ACL 2025 Training Medical QA Models Based on Mixed Rewards from Multiple-Choice and Open-Ended Questions EMNLP 2025 T-REG: Preference Optimization with Token-Level Reward Regularization ACL 2025 Trial-Oriented Visual Rearrangement ICCV 2025 Truncated Gaussian Policy for Debiased Continuous Control AAAI 2025 ULTHO: Ultra-Lightweight yet Efficient Hyperparameter Optimization in Deep Reinforcement Learning ICCV 2025