Yuyang Bai  (白雨洋)

Hi there, thanks for visiting my website! I am a second-year undergraduate student at Xi'an Jiaotong University, majoring in Artificial Intelligence.

My research focuses on knowledge graphs, social network analysis, natural lanuage processing, and graph neural networks advised by Prof. Minnan Luo. I'm a member of LUD lab, the premiere undergraduate research group @ XJTU.

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My research interests include knowledge graphs, natural language processing (NLP), social network analysis, and graph neural networks, with a special focus on these two topics:

• Interpretability and analysis of Large Language Models
• NLP & social network analysis for the common good.

We propose CooK, a community-driven iniatitive to empower black-box LLMs with modular and collaborative knowledge. By incorporating the outputs of independently trained, small, and specialized LMs, we make LLMs better knowledge models by empowering them with temporal knowledge update, multi-domain knowledge synthesis, and continued improvement through collective efforts.

We propose FactKB, a simple new approach to factuality evaluation that is generalizable across domains, in particular with respect to entities and relations.

We propose MVSD, a novel Multi-View Spoiler Detection framework that takes into account the external knowledge about movies and user activities on movie review platforms.

We present Twibot-22, the largest graph-based Twibot bot detection benchmark to date, which provides diversified entities and relations in Twittersphere and has considerably better annotation quality.

• Scholarship for Outstanding Students, Second Prize, Xi'an Jiaotong University, 2022