Reinforcement Learning

BLCU-ICALL at BEA 2025 Shared Task: Multi-Strategy Evaluation of AI Tutors ACL 2025 Boosting Policy and Process Reward Models with Monte Carlo Tree Search in Open-Domain QA ACL 2025 Bootstrapped Reward Shaping AAAI 2025 Bounded Rationality Equilibrium Learning in Mean Field Games AAAI 2025 BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving ACL 2025 Breaking the Reasoning Barrier A Survey on LLM Complex Reasoning through the Lens of Self-Evolution ACL 2025 Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models IJCAI 2025 CAP: Conformalized Abstention Policies for Context-Adaptive Risk Management for LLMs and VLMs ACML 2025 CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling ACL 2025 Case-Based Decision-Theoretic Decoding with Quality Memories EMNLP 2025 Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter EMNLP 2025 CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback ACL 2025 CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness AAAI 2025 CodeContests+: High-Quality Test Case Generation for Competitive Programming EMNLP 2025 CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation ACL 2025 CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation ACL 2025 CodeTool: Enhancing Programmatic Tool Invocation of LLMs via Process Supervision ACL 2025 CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards EMNLP 2025 Comparing Bad Apples to Good Oranges Aligning Large Language Models via Joint Preference Optimization ACL 2025 CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward EMNLP 2025 Concentration of Cumulative Reward in Markov Decision Processes JMLR 2025 ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models EMNLP 2025 Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement ACL 2025 Confidence Improves Self-Consistency in LLMs ACL 2025 Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning AAAI 2025