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reinforcement learning

4352 papers

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Also known as

RL REINFORCE

Co-occurring keywords

large language model (13587) policy learning (702) markov decision process (790) policy optimization (657) policy gradient (520) deep reinforcement learning (903) multi-agent system (1819) imitation learning (744) regret bound (1926) language model (4599)

Papers

Hidden in Plain Text: Emergence & Mitigation of Steganographic Collusion in LLMs IJCNLP 2025
Reinforced Query Reasoners for Reasoning-intensive Retrieval Tasks EMNLP 2025
Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty EMNLP 2025
Do LLMs Need Inherent Reasoning Before Reinforcement Learning? A Study in Korean Self-Correction IJCNLP 2025
Online Learning Defense against Iterative Jailbreak Attacks via Prompt Optimization AACL 2025
MOERL: When Mixture-of-Experts Meet Reinforcement Learning for Adverse Weather Image Restoration ICCV 2025
Do LLMs Need Inherent Reasoning Before Reinforcement Learning? A Study in Korean Self-Correction AACL 2025
Embedding Domain Knowledge for Large Language Models via Reinforcement Learning from Augmented Generation EMNLP 2025
Unilaw-R1: A Large Language Model for Legal Reasoning with Reinforcement Learning and Iterative Inference EMNLP 2025
Smart-Searcher: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning EMNLP 2025
ReGraph: Learning to Reformulate Graph Encodings with Large Language Models AACL 2025
Thinking Out Loud: Do Reasoning Models Know When They’re Right? EMNLP 2025
Governance in Motion: Co-evolution of Constitutions and AI models for Scalable Safety EMNLP 2025
Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization EMNLP 2025
Process-Supervised Reinforcement Learning for Code Generation EMNLP 2025
iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use EMNLP 2025
Knowledge-Aware Co-Reasoning for Multidisciplinary Collaboration EMNLP 2025
EvolveSearch: An Iterative Self-Evolving Search Agent EMNLP 2025
Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories EMNLP 2025
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains EMNLP 2025
Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition AAAI 2025
Training-free Generation of Temporally Consistent Rewards from VLMs ICCV 2025
ACING: Actor-Critic for Instruction Learning in Black-Box LLMs EMNLP 2025
R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning EMNLP 2025
WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning EMNLP 2025