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Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 501 -
Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play
Paper • 2509.25541 • Published • 140 -
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 270 -
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
Paper • 2509.25454 • Published • 141
Collections
Discover the best community collections!
Collections including paper arxiv:2508.01191
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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 • 249 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 259
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Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning
Paper • 2508.16949 • Published • 23 -
Diffusion Language Models Know the Answer Before Decoding
Paper • 2508.19982 • Published • 25 -
ThinkDial: An Open Recipe for Controlling Reasoning Effort in Large Language Models
Paper • 2508.18773 • Published • 16 -
Intern-S1: A Scientific Multimodal Foundation Model
Paper • 2508.15763 • Published • 259
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report
Paper • 2508.01059 • Published • 32 -
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens
Paper • 2508.01191 • Published • 238 -
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
Paper • 2508.05629 • Published • 180 -
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 195
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SSRL: Self-Search Reinforcement Learning
Paper • 2508.10874 • Published • 97 -
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens
Paper • 2508.01191 • Published • 238 -
Thinking with Nothinking Calibration: A New In-Context Learning Paradigm in Reasoning Large Language Models
Paper • 2508.03363 • Published • 1 -
MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization
Paper • 2507.14683 • Published • 134
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Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 501 -
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs
Paper • 2510.07499 • Published • 48 -
Improving Context Fidelity via Native Retrieval-Augmented Reasoning
Paper • 2509.13683 • Published • 8 -
Multimodal Iterative RAG for Knowledge-Intensive Visual Question Answering
Paper • 2509.00798 • Published • 1
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Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 501 -
Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play
Paper • 2509.25541 • Published • 140 -
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 270 -
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
Paper • 2509.25454 • Published • 141
-
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 501 -
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs
Paper • 2510.07499 • Published • 48 -
Improving Context Fidelity via Native Retrieval-Augmented Reasoning
Paper • 2509.13683 • Published • 8 -
Multimodal Iterative RAG for Knowledge-Intensive Visual Question Answering
Paper • 2509.00798 • Published • 1
-
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 • 249 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 259
-
Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning
Paper • 2508.16949 • Published • 23 -
Diffusion Language Models Know the Answer Before Decoding
Paper • 2508.19982 • Published • 25 -
ThinkDial: An Open Recipe for Controlling Reasoning Effort in Large Language Models
Paper • 2508.18773 • Published • 16 -
Intern-S1: A Scientific Multimodal Foundation Model
Paper • 2508.15763 • Published • 259
-
Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report
Paper • 2508.01059 • Published • 32 -
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens
Paper • 2508.01191 • Published • 238 -
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
Paper • 2508.05629 • Published • 180 -
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 195
-
SSRL: Self-Search Reinforcement Learning
Paper • 2508.10874 • Published • 97 -
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens
Paper • 2508.01191 • Published • 238 -
Thinking with Nothinking Calibration: A New In-Context Learning Paradigm in Reasoning Large Language Models
Paper • 2508.03363 • Published • 1 -
MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization
Paper • 2507.14683 • Published • 134