GitHub

Hi there 👋

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

Pinned Loading

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

    Python 477 41

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

    Python 864 69

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

    Python 303 34

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

    Python 122 8

  5. Language Models Can See: Plugging Visual Controls in Text Generation

    Python 260 26

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

    Python 162 28

Read the original on github.com ↗