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yxuansu/README.md

Hi there ๐Ÿ‘‹

I am a final-year Ph.D. student at Language Technology Lab, University of Cambridge. I am broadly interested in natural language processing (NLP) and machine learning. The majority of my research lies in text generation. Recently, I focus my research on the topic of contrastive learning and the study of its potential in language model pre-training, discourse representation learning, knowledge probing, open-ended text generation, and multi-modal text generation. Please refer to [my personal page] for the complete list of my research.

Personally, I really like pandas. The one in my icon is my favourite and her name is Hehua.

Yixuan's GitHub stats

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  1. SimCTG SimCTG Public

    [NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation

    Python 445 39

  2. PandaGPT PandaGPT Public

    [TLLM'23] PandaGPT: One Model To Instruction-Follow Them All

    Python 728 54

  3. OpenAlpaca OpenAlpaca Public

    OpenAlpaca: A Fully Open-Source Instruction-Following Model Based On OpenLLaMA

    Python 301 33

  4. Contrastive_Search_Is_What_You_Need Contrastive_Search_Is_What_You_Need Public

    [TMLR'23] Contrastive Search Is What You Need For Neural Text Generation

    Python 114 8

  5. MAGIC MAGIC Public

    Language Models Can See: Plugging Visual Controls in Text Generation

    Python 251 27

  6. awslabs/pptod awslabs/pptod Public

    Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System (ACL 2022)

    Python 151 27