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conftrace_

reinforcement learning

5,245 papers

RL REINFORCE

Papers

Teaching Language Models to Critique via Reinforcement Learning ICML 2025 Teaching Language Models To Gather Information Proactively EMNLP 2025 Teaching LLMs to Plan, Not Just Solve: Plan Learning Boosts LLMs Generalization in Reasoning Tasks EMNLP 2025 Teaching Models to Improve on Tape AAAI 2025 Teaching Text Agents to Learn Sequential Decision Making from Failure ACL 2025 Team XSZ at BioLaySumm2025: Section-Wise Summarization, Retrieval-Augmented LLM, and Reinforcement Learning Fine-Tuning for Lay Summaries ACL 2025 Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition IJCAI 2025 Temporal Difference Learning: Why It Can Be Fast and How It Will Be Faster ICLR 2025 Terminology-Constrained Translation from Monolingual Data Using GRPO EMNLP 2025 Test-Time Adaptation with Binary Feedback ICML 2025 Text2World: Benchmarking Large Language Models for Symbolic World Model Generation ACL 2025 The Adaptive Q-Network for Recommendation Tasks with Dynamic Item Space AAAI 2025 The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards AAAI 2025 The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning IJCAI 2025 The Hallucination Tax of Reinforcement Finetuning EMNLP 2025 The Impact of Language Mixing on Bilingual LLM Reasoning EMNLP 2025 The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function AAAI 2025 The Lessons of Developing Process Reward Models in Mathematical Reasoning ACL 2025 The POWER of Ikigai: Optimizing Life Fulfillment with an Integrated User Simulator and Adaptive Hobby Recommender AAAI 2025 The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems ACL 2025 The Value of Sensory Information to a Robot ICLR 2025 Thinking Out Loud: Do Reasoning Models Know When They’re Right? EMNLP 2025 Thinking with DistilQwen: A Tale of Four Distilled Reasoning and Reward Model Series EMNLP 2025 ThinkTuning: Instilling Cognitive Reflections without Distillation EMNLP 2025 Think Twice, Act Once: A Co-Evolution Framework of LLM and RL for Large-Scale Decision Making ICML 2025