Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 513
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colin31472
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upvoted a paper 6 months ago
upvoted 3
papers 7 months ago
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
Paper • 2506.01939 • Published • 190
Reasoning with Exploration: An Entropy Perspective
Paper • 2506.14758 • Published • 30
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 193
upvoted a paper 8 months ago
upvoted 6
papers 9 months ago
VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment
Paper • 2410.01679 • Published • 27
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Paper • 2503.14476 • Published • 146
AdaptThink: Reasoning Models Can Learn When to Think
Paper • 2505.13417 • Published • 83
Group Sequence Policy Optimization
Paper • 2507.18071 • Published • 320
The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
Paper • 2505.22617 • Published • 132
First Return, Entropy-Eliciting Explore
Paper • 2507.07017 • Published • 24
upvoted 4
papers 10 months ago
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
Paper • 2506.13585 • Published • 274
Magistral
Paper • 2506.10910 • Published • 68
Comment on The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
Paper • 2506.09250 • Published • 27
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 134