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.

Email  /  CV  /  Google Scholar  /  Semantic Scholar  /  Twitter  /  Github

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Research Interest

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.

Publications (* indicates equal contribution)
3DSP CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge
Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
arXiv preprint arXiv:2305.09955, 2023.
GitHub / bibtex

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.

3DSP FACTKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge
Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov
arXiv preprint arXiv:2305.08281, 2023.
GitHub / bibtex

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

3DSP Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks
Heng Wang, Wenqian Zhang, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Qinghua Zheng, Minnan Luo
arXiv preprint arXiv:2304.11411, 2023.
GitHub / bibtex

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.

3DSP TwiBot-22: Towards Graph-Based Twitter Bot Detection
Shangbin Feng*, Zhaoxuan Tan*, Herun Wan*, Ningnan Wang*, Zilong Chen*, Binchi Zhang*, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo
Proceedings of the 2022 NeurIPS Datasets and Benchmarks Track, 2022.
website / GitHub / bibtex / poster

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.

Xi'an Jiaotong University
2021.09 - 2025.07 (Expected)

B.E. in Artificial Intelligence
GPA: 92.4 / 100.0
Advisor: Prof. Minnan Luo
Academic Experiences
Luo lab Undergraduate Division (LUD) @ XJTU

Member         2021.08 - present
Conducted research on various topics including social network analysis, factuality evaluation in summarization, and interpretability/analysis of Large Language Models.
Advisor: Prof. Minnan Luo
Honors & Awards
  • Scholarship for Outstanding Students, Second Prize, Xi'an Jiaotong University, 2022