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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models EMNLP 2025
Hierarchical Reward Modeling for Fault Localization in Large Code Repositories EMNLP 2025
INREACT: An Inspire-Then-Reinforce Training Framework For Multimodal GUI Agent EMNLP 2025
RAISE: Reinforced Adaptive Instruction Selection For Large Language Models EMNLP 2025
Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward EMNLP 2025
Legal Mathematical Reasoning with LLMs: Procedural Alignment through Two-Stage Reinforcement Learning EMNLP 2025
Beyond the First Error: Process Reward Models for Reflective Mathematical Reasoning EMNLP 2025
The Hallucination Tax of Reinforcement Finetuning EMNLP 2025
DCRM: A Heuristic to Measure Response Pair Quality in Preference Optimization EMNLP 2025
Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment EMNLP 2025
Auto-Weighted Group Relative Preference Optimization for Multi-Objective Text Generation Tasks EMNLP 2025
CTR-Guided Generative Query Suggestion in Conversational Search EMNLP 2025
Beyond Correctness: Confidence-Aware Reward Modeling for Enhancing Large Language Model Reasoning EMNLP 2025
ThinkTuning: Instilling Cognitive Reflections without Distillation EMNLP 2025
Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models EMNLP 2025
Beyond Static Testbeds: An Interaction-Centric Agent Simulation Platform for Dynamic Recommender Systems EMNLP 2025
PLLuM-Align: Polish Preference Dataset for Large Language Model Alignment EMNLP 2025
RAG-Zeval: Enhancing RAG Responses Evaluator through End-to-End Reasoning and Ranking-Based Reinforcement Learning EMNLP 2025
SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction EMNLP 2025
AgentPro: Enhancing LLM Agents with Automated Process Supervision EMNLP 2025
iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use EMNLP 2025
Governance in Motion: Co-evolution of Constitutions and AI models for Scalable Safety EMNLP 2025
Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-Reformulation EMNLP 2025
WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning EMNLP 2025
RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation EMNLP 2025