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Ruofei Zhu

2 accepted papers

2025

DAPO: An Open-Source LLM Reinforcement Learning System at Scale

NeurIPS 2025poster

Inference scaling empowers LLMs with unprecedented reasoning ability, with reinforcement learning as the core technique to elicit complex reasoning. However, key technical details of state-of-the-art reasoning LLMs are concealed (such as in OpenAI o1 blog and DeepSeek R1 technical report), thus the…

Cited by 0SourceScholar
2025

Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback

NeurIPS 2025poster

Reinforcement Learning from Human Feedback (RLHF) is essential for aligning large language models (LLMs) with human preferences and values. While recent research has primarily focused on algorithmic advancements—such as reducing computational overhead or strengthening reward models to mitigate rewar…

Cited by 0SourceScholar