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Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 274 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 262 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 237 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 257
Collections
Discover the best community collections!
Collections including paper arxiv:2509.06501
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Tool-integrated Reinforcement Learning for Repo Deep Search
Paper • 2508.03012 • Published • 20 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 91 -
Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents
Paper • 2509.09265 • Published • 45 -
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 185
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End-to-End Goal-Driven Web Navigation
Paper • 1602.02261 • Published -
Learning Language Games through Interaction
Paper • 1606.02447 • Published -
Naturalizing a Programming Language via Interactive Learning
Paper • 1704.06956 • Published -
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration
Paper • 1802.08802 • Published • 1
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WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents
Paper • 2509.06501 • Published • 78 -
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
Paper • 2508.18106 • Published • 341 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 219 -
Why Language Models Hallucinate
Paper • 2509.04664 • Published • 189
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SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning
Paper • 2509.02479 • Published • 83 -
WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents
Paper • 2509.06501 • Published • 78 -
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Paper • 2509.02544 • Published • 123 -
Baichuan-M2: Scaling Medical Capability with Large Verifier System
Paper • 2509.02208 • Published • 41
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Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning
Paper • 2505.01441 • Published • 39 -
LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
Paper • 2504.16078 • Published • 21 -
Emergent Agentic Transformer from Chain of Hindsight Experience
Paper • 2305.16554 • Published -
DiaTool-DPO: Multi-Turn Direct Preference Optimization for Tool-Augmented Large Language Models
Paper • 2504.02882 • Published • 7
-
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 274 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 262 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 237 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 257
-
WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents
Paper • 2509.06501 • Published • 78 -
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
Paper • 2508.18106 • Published • 341 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 219 -
Why Language Models Hallucinate
Paper • 2509.04664 • Published • 189
-
SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning
Paper • 2509.02479 • Published • 83 -
WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents
Paper • 2509.06501 • Published • 78 -
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Paper • 2509.02544 • Published • 123 -
Baichuan-M2: Scaling Medical Capability with Large Verifier System
Paper • 2509.02208 • Published • 41
-
Tool-integrated Reinforcement Learning for Repo Deep Search
Paper • 2508.03012 • Published • 20 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 91 -
Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents
Paper • 2509.09265 • Published • 45 -
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 185
-
Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning
Paper • 2505.01441 • Published • 39 -
LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
Paper • 2504.16078 • Published • 21 -
Emergent Agentic Transformer from Chain of Hindsight Experience
Paper • 2305.16554 • Published -
DiaTool-DPO: Multi-Turn Direct Preference Optimization for Tool-Augmented Large Language Models
Paper • 2504.02882 • Published • 7
-
End-to-End Goal-Driven Web Navigation
Paper • 1602.02261 • Published -
Learning Language Games through Interaction
Paper • 1606.02447 • Published -
Naturalizing a Programming Language via Interactive Learning
Paper • 1704.06956 • Published -
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration
Paper • 1802.08802 • Published • 1