Kimi k1.5: Scaling Reinforcement Learning with LLMs
Paper
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2501.12599
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Published
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121
LLM-RL
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DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Paper • 2503.14476 • Published • 137 -
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't
Paper • 2503.16219 • Published • 51 -
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
Paper • 2503.24290 • Published • 63 -
Inference-Time Scaling for Generalist Reward Modeling
Paper • 2504.02495 • Published • 57 -
VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks
Paper • 2504.05118 • Published • 25 -
A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce
Paper • 2504.11343 • Published • 19 -
Tina: Tiny Reasoning Models via LoRA
Paper • 2504.15777 • Published • 55 -
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Paper • 2504.13837 • Published • 133 -
TTRL: Test-Time Reinforcement Learning
Paper • 2504.16084 • Published • 120 -
Learning to Reason under Off-Policy Guidance
Paper • 2504.14945 • Published • 86 -
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
Paper • 2504.20571 • Published • 97 -
Llama-Nemotron: Efficient Reasoning Models
Paper • 2505.00949 • Published • 42 -
AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale
Paper • 2505.08311 • Published • 18 -
AdaptThink: Reasoning Models Can Learn When to Think
Paper • 2505.13417 • Published • 82 -
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 60