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Achievement: Starstruckx3Achievement: Pull SharkAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

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FranxYao/README.md

Hi there 👋 |

I got my Ph.D from the University of Edinburgh. Previously I finished my M.S. at Columbia University and B.S. at Peking University.

I study large-scale generative models for human language.

Anurag's GitHub stats

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  1. chain-of-thought-hub chain-of-thought-hub Public

    Benchmarking large language models' complex reasoning ability with chain-of-thought prompting

    Jupyter Notebook 2.6k 131

  2. Long-Context-Data-Engineering Long-Context-Data-Engineering Public

    Implementation of paper Data Engineering for Scaling Language Models to 128K Context

    Python 442 29

  3. GPT-Bargaining GPT-Bargaining Public

    Code for Arxiv 2023: Improving Language Model Negociation with Self-Play and In-Context Learning from AI Feedback

    Jupyter Notebook 201 18

  4. Deep-Generative-Models-for-Natural-Language-Processing Deep-Generative-Models-for-Natural-Language-Processing Public

    DGMs for NLP. A roadmap.

    392 32

  5. FlanT5-CoT-Specialization FlanT5-CoT-Specialization Public

    Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.

    Jupyter Notebook 126 2

  6. RDP RDP Public

    Implementation of ICML 22 Paper: Scaling Structured Inference with Randomization

    Jupyter Notebook 14 3