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shizhediao/README.md

Aloha. I'm Shizhe Diao 👋

I am a researcher at NVIDIA Research. I completed my Ph.D. at the Hong Kong University of Science and Technology (HKUST), advised by Prof. Tong Zhang. My research focuses on pre-training, efficient-tuning, and adaptation of large language models.

Besides programming, I have an immense interest in swimming 🏊, kayaking 🚣, windsurfing 🏄, dinghy sailing ⛵, and stand up paddling!

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  1. OptimalScale/LMFlow Public

    An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

    Python 8.5k 836

  2. active-prompt Public

    Source code for the paper "Active Prompting with Chain-of-Thought for Large Language Models"

    Python 246 30

  3. extreme-bert/extreme-bert Public

    ExtremeBERT is a toolkit that accelerates the pretraining of customized language models on customized datasets, described in the paper “ExtremeBERT: A Toolkit for Accelerating Pretraining of Custom…

    Python 269 14

  4. ChatGPTPapers Public

    Must-read papers, related blogs and API tools on the pre-training and tuning methods for ChatGPT.

    321 21

  5. ZEN Public

    Forked from sinovation/ZEN

    A BERT-based Chinese Text Encoder Enhanced by N-gram Representations

    Python 1 1

  6. T-DNA Public

    Source code for the ACL-IJCNLP 2021 paper entitled "T-DNA: Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation" by Shizhe Diao et al.

    Python 19 5

206 contributions in the last year

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Activity overview

Contributed to shizhediao/shizhediao.github.io, OptimalScale/LMFlow, NVlabs/hymba and 16 other repositories
Loading A graph representing shizhediao's contributions from November 03, 2024 to November 07, 2025. The contributions are 75% commits, 13% pull requests, 8% code review, 4% issues. 8% Code review 4% Issues 13% Pull requests 75% Commits

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November 2025

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