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ZhangzihanGit/README.md

👋 Hey, I'm Zihan

I'm a third-year Industry Doctorate Program (IDP) PhD student at the University of Technology Sydney (UTS) NLP group, sponsored by the industry partner TPG Telecom. I have broad research interests centred around natural language processing (NLP). As an IDP PhD student, I am particularly passionate about developing NLP systems that are practical, robust, efficient, and can be applied to the industry.

Recently, my research focus has moved towards Large Language Models (LLMs) and exploring how to use them in production to drive business. My recent efforts involve adapting LLMs to world knowledge, which includes developing efficient, trustworthy, and robust Retrieval-Augmented Generation (RAG) methods for Question Answering (QA) and Dialogue systems.

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  1. hyintell/awesome-refreshing-llms hyintell/awesome-refreshing-llms Public

    EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining.

    126 8

  2. hyintell/topicx hyintell/topicx Public

    Model zoo for topic models, neural topic models, contextual embeddings for topic models ...

    Python 41 4

  3. algorithms-in-action/algorithms-in-action.github.io algorithms-in-action/algorithms-in-action.github.io Public

    Algorithm visualiser with stepwise refinement

    JavaScript 11 40

  4. hyintell/RetrievalQA hyintell/RetrievalQA Public

    Source code of the paper: RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering [Findings of ACL 2024]

    Python 59 1