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reinforcement learning

4122 papers

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Also known as

RLVR HARL GRPO RL PPO REINFORCE RFT DRL RL NULL LQR RLHF

Co-occurring keywords

large language model (12755) policy learning (699) markov decision process (788) policy gradient (518) policy optimization (630) deep reinforcement learning (903) multi-agent system (1743) imitation learning (741) regret bound (1918) language model (4573)

Papers

MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models AAAI 2025
Beyond the First Error: Process Reward Models for Reflective Mathematical Reasoning EMNLP 2025
CoRanking: Collaborative Ranking with Small and Large Ranking Agents EMNLP 2025
GTA: Supervised-Guided Reinforcement Learning for Text Classification with Large Language Models EMNLP 2025
LLM Stinger: Jailbreaking LLMs Using RL Fine-Tuned LLMs (Student Abstract) AAAI 2025
Co-Learning of Strategy and Structure Achieves Full Cooperation in Complex Networks with Dynamical Linking IJCAI 2025
BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning AAAI 2025
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems AAAI 2025
In-Context Policy Adaptation via Cross-Domain Skill Diffusion AAAI 2025
RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation EMNLP 2025
Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting IJCAI 2025
MSMAR-RL: Multi-Step Masked-Attention Recovery Reinforcement Learning for Safe Maneuver Decision in High-Speed Pursuit-Evasion Game IJCAI 2025
TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use EMNLP 2025
Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning EMNLP 2025
CodeContests+: High-Quality Test Case Generation for Competitive Programming EMNLP 2025
Unleashing the Reasoning Potential of LLMs by Critique Fine-Tuning on One Problem EMNLP 2025
Representation-driven Option Discovery in Reinforcement Learning AAAI 2025
PhonoThink: Improving Large Language Models’ Reasoning on Chinese Phonological Ambiguities EMNLP 2025
Think Wider, Detect Sharper: Reinforced Reference Coverage for Document-Level Self-Contradiction Detection EMNLP 2025
Revisiting Early Detection of Sexual Predators via Turn-level Optimization NAACL 2025
NAT: Enhancing Agent Tuning with Negative Samples NAACL 2025
Refusal-Aware Red Teaming: Exposing Inconsistency in Safety Evaluations EMNLP 2025
Enhancing Efficiency and Exploration in Reinforcement Learning for LLMs EMNLP 2025
CARE: Multilingual Human Preference Learning for Cultural Awareness EMNLP 2025
DocThinker: Explainable Multimodal Large Language Models with Rule-based Reinforcement Learning for Document Understanding ICCV 2025