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VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
Paper • 2509.09372 • Published • 239 -
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
Paper • 2509.03867 • Published • 211 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 225 -
Why Language Models Hallucinate
Paper • 2509.04664 • Published • 193
Collections
Discover the best community collections!
Collections including paper arxiv:2509.02547
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Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 277 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 263 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 240 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 259
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WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents
Paper • 2509.06501 • Published • 79 -
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
Paper • 2508.18106 • Published • 345 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 225 -
Why Language Models Hallucinate
Paper • 2509.04664 • Published • 193
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The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 225 -
Demystifying Reinforcement Learning in Agentic Reasoning
Paper • 2510.11701 • Published • 31 -
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
Paper • 2510.16872 • Published • 104
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The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 225 -
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 189 -
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers
Paper • 2508.21148 • Published • 140
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A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 189 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 225 -
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning
Paper • 2509.07980 • Published • 101 -
Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing
Paper • 2509.08721 • Published • 660
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The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 225 -
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications
Paper • 2508.16279 • Published • 53 -
rStar2-Agent: Agentic Reasoning Technical Report
Paper • 2508.20722 • Published • 116
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VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
Paper • 2509.09372 • Published • 239 -
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
Paper • 2509.03867 • Published • 211 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 225 -
Why Language Models Hallucinate
Paper • 2509.04664 • Published • 193
-
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 277 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 263 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 240 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 259
-
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 225 -
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 189 -
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers
Paper • 2508.21148 • Published • 140
-
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 189 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 225 -
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning
Paper • 2509.07980 • Published • 101 -
Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing
Paper • 2509.08721 • Published • 660
-
WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents
Paper • 2509.06501 • Published • 79 -
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
Paper • 2508.18106 • Published • 345 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 225 -
Why Language Models Hallucinate
Paper • 2509.04664 • Published • 193
-
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 225 -
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications
Paper • 2508.16279 • Published • 53 -
rStar2-Agent: Agentic Reasoning Technical Report
Paper • 2508.20722 • Published • 116
-
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 225 -
Demystifying Reinforcement Learning in Agentic Reasoning
Paper • 2510.11701 • Published • 31 -
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
Paper • 2510.16872 • Published • 104