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Scaf-GRPO: Scaffolded Group Relative Policy Optimization for Enhancing LLM Reasoning
2025Xichen Zhang, Sitong Wu et al.
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Post-training Large Language Models for Diverse High-Quality Responses
2025Yilei Chen, Souradip Chakraborty et al.
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2025Chen Ye, Zhou Yu et al.
[4]
StepHint: Multi-level Stepwise Hints Enhance Reinforcement Learning to Reason
2025Kaiyi Zhang, Ang Lv et al.
[5]
Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling
2025Zeyu Huang, Tianhao Cheng et al.
[6]
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2025Xuechen Zhang, Zijian Huang et al.
[7]
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2025Lu Ma, Hao Liang et al.
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2025Xiaoying Zhang, Hao Sun et al.
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2025Tej Deep Pala, Panshul Sharma et al.
[10]
Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL
2025Che Liu, Haozhe Wang et al.
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2025Kaiwen Zha, Zhengqi Gao et al.
[12]
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2025Muhammad Khalifa, Rishabh Agarwal et al.
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2025Jianhao Yan, Yafu Li et al.
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2025Yang Yue, Zhiqin Chen et al.
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2025Yu Yue, Yufeng Yuan et al.
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2025Jian Zhao, Runze Liu et al.
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2025Jingcheng Hu, Yinmin Zhang et al.
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Showing 20 of 53 references

Founder's Pitch

"Develop SCOPE, a framework enhancing reinforcement learning by refining partially correct trajectories for broader exploration in complex reasoning models."

Reinforcement LearningScore: 6View PDF ↗

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0-10 scale

High Potential

2/4 signals

5

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3/4 signals

7.5

Series A Potential

2/4 signals

5

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