Yizhi Li

I am currently a Computer Science PhD student funded by the University of Manchester, supervised by Prof. Chenghua Lin. I am also a co-founder of the Multimodal Art Projection (M-A-P) research community, which aims to drive open-source academia-level research to cutting-edge level as the industry. I’ve collaborated with Dr. Jie Fu and had a lot fun.

Research

My current research study involves post-training of LLMs and multi-modal alignment, and the research questions including:

• How to build an effective and robust self-evolved framework for LLMs with data synthesis (maingly during post-trianing)? Deriving important sub questions:
  1. What is a good criteria for evaluating what the model acutally understand?
  2. How to verify the quality of the generated contents, considering domain knowledge and general metrics?
• How to unifiy the understanding and generation of vision-langauge models?
• The paradgim of aligning model among the text, vision and audio modalities.

Before the LLM era, my research interests could be concluded as these topics: language model evaluation, information retrieval, fairness in NLP, music modelling, and general topics natural language modelling. More recent and detailed topics can be referred to my publication pages.

Passed Experience

• Intenrned at J.P. Morgan Artificial Intelligence Research.
• I previously worked as a research assistant at Tsinghua NLP Lab with Prof. Zhiyuan Liu.

Academic Service: reviewer at ACL, EACL, EMNLP, INLG, ISMIR, ICLR, ICASSP, NeurIPS.