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  • Peking University
  • Beijing
  • 14:51 (UTC +08:00)

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sylvain-wei/README.md

Hi Bro👋

🧑🏻‍💻 Brief Intro

I am Shaohang WEI, insterested in Reasoning in LLMs, Post-training, and Interpretability of LLMs. Strive to seek ways to make LLMs generalize in reasoning ability.

🤝🏻  Contact Me

If you are interested in any aspect of me, please feel free to reach out to me!

Email: shaohang[at]stu.pku.edu.cn

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  1. TIME TIME Public

    TIME: A Multi-level Benchmark for Temporal Reasoning of LLMs in Real-World Scenario

    Python 7

  2. 24-Game-Reasoning 24-Game-Reasoning Public

    超简单复现Deepseek-R1-Zero和Deepseek-R1，以「24点游戏」为例。通过zero-RL、SFT以及SFT+RL，以激发LLM的自主验证反思能力。 About Clean, minimal, accessible reproduction of DeepSeek R1-Zero, DeepSeek R1

    Python 21 1

  3. Self-training-Paper-List Self-training-Paper-List Public

    Self-training relies on the model's internal features, output layer probability distributions, and other data to construct supervisory signals. It selects essential key data and designs more reason…

    2

  4. NightingaleCen/LeafyLingo NightingaleCen/LeafyLingo Public

    Python

  5. NightingaleCen/RL-MalmoPlayground NightingaleCen/RL-MalmoPlayground Public

    Python 2

  6. Natural-Language-Processing-2022Fall Natural-Language-Processing-2022Fall Public

    This repository is about the course projects on Natural Language Processing, 2022 Fall, which is provided by the Institute of Artificial Intelligence, Beihang University.

    Python