I am currently a Computer Science PhD candidate 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.

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Research

My current research focus is mainly about the the post-training of LLM with reinforce learning. Specifically, as we have stepped into the new era of training LLM with one/similar recipe by setting customized goals, how to train a real generalized model under such a paradigm?

Other research questions involving post-training of LLMs and multi-modal alignment:

• How to build an effective and robust self-evolved framework for LLMs with data synthesis (maingly during post-trianing)?
• 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.

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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.