Tai Nguyen

May 2021: Hours before abseiling down Sơn Đoòng.

I’m Tai (Đức Tài), a graduate student at the University of Pennsylvania. I grew up in Saigon, Vietnam. 🇻🇳

I am excited about topics related to data attribution, robustness, and efficiency in LLMs and modern AI systems. I was fortunate to work with Eric Wong and Chris Callison-Burch.

I was previously at IBM Systems, helping build an analysis tool to support daily diagnosis and development of System-z mainframe servers. At Haverford, I studied Economics and Statistics and wrote my undergraduate thesis on Airbnb and welfare with Giri Parameswaran.

In my free time, I enjoy traveling, boxing, and following American football.

Please reach me at taing [at] seas [dot] upenn [dot] edu to chat or collaborate!

publications (* Equal contribution)

In-context Example Selection with Influences

Tai Nguyen, and Eric Wong

In submission, 2024

[BibTeX] [Paper] [Code] [Blog]

Explanation-based Finetuning Makes Models More Robust to Spurious Cues

Josh Ludan, Yixuan Meng*, Tai Nguyen*, Saurabh Shah*, Qing Lyu, Marianna Apidianaki, and Chris Callison-Burch

Association for Computational Linguistics, ACL 2023

[BibTeX] [arXiv] [Code] [Poster]

@inproceedingsludan-et-al-2023-explanation-based-finetuning,
  author = Ludan, Josh Magnus and Meng, Yixuan and Nguyen, Tai and Shah, Saurabh and Lyu, Qing and Apidianaki, Marianna and Callison-Burch, Chris,
  title = Explanation-based Finetuning Makes Models More Robust to Spurious Cues,
  booktitle = Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023),
  address = Toronto, Canada,
  year = 2023,
  copyright = Creative Commons Attribution 4.0 International
}

Software Entity Recognition with Noise-robust Learning

Tai Nguyen, Yifeng Di, Joohan Lee, Muhao Chen, and Tianyi Zhang

IEEE/ACM International Conference on Automated Software Engineering, ASE 2023

[BibTeX] [arXiv] [Code] [Model]

@inproceedings{nguyen2023software,
  title=Software Entity Recognition with Noise-Robust Learning,
  author=Nguyen, Tai and Di, Yifeng and Lee, Joohan and Chen, Muhao and Zhang, Tianyi,
  booktitle=Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering (ASE’23),
  year=2023,
  organization=IEEE/ACM
}