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Achievements

Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Starstruckx4Achievement: Pull Sharkx3Achievement: YOLOAchievement: Arctic Code Vault Contributor

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shizhediao/README.md

Aloha. I'm Shizhe Diao 👋

I am a research scientist at NVIDIA Research. I was a visiting scholar at University of Illinois at Urbana-Champaign, working with Prof. Heng Ji. I received my Ph.D. in 2023 advised by Prof. Tong Zhang. My research focuses on developing methods to scale up post-training and reinforcement learning for large language models, pushing the frontier of more capable, general-purpose AI agents through data-centric design.

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

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  1. OptimalScale/LMFlow OptimalScale/LMFlow Public

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

    Python 8.5k 831

  2. active-prompt active-prompt Public

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

    Python 250 30

  3. R-Tuning R-Tuning Public

    [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't Know'"

    Python 131 13

  4. automate-cot automate-cot Public

    Source code for the paper "Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data"

    20 1

  5. T-DNA 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 4

  6. extreme-bert/extreme-bert 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