Hello there!
I'm Tianyi Lorena Yan Contact: tianyi.yan `at` columbia.edu

I am a first-year PhD student at Columbia University, where I am fortunate to be advised by Prof. John Hewitt. I'm interested in understanding the behaviors of language models and making them more controllable, interpretable, and efficient.

I did my undergrad at University of Southern California (USC), where I had a great time working with Prof. Robin Jia and Prof. Muhao Chen. I am also grateful to have worked with my PhD mentor Fei Wang at USC and Prof. Hao Zhou at AIR Tsinghua.

In my free time, I enjoy cooking, playing the flute (occasionally piccolo; played for 8 years!), and listening to soundtracks from movies and games (recs welcome)!

Last updated time: 08-2025

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📣 News

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🗃 Publications

Promote, Suppress, Iterate: How Language Models Answer One-to-Many Factual Queries

  • Tianyi Lorena Yan, Robin Jia
  • Empirical Methods in Natural Language Processing (EMNLP), 2025
  • [Paper] [Code]

MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding

  • Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen
  • International Conference on Learning Representations (ICLR), 2025
  • [Paper] [Website] [Code]

Contrastive Instruction Tuning

  • Tianyi Lorena Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen
  • In Findings of ACL, 2024
  • [Paper] [Code] [Slides] [Poster] [Video]

Monotonic Paraphrasing Improves Generalization of Language Model Prompting

  • Qin Liu, Fei Wang, Nan Xu, Tianyi Lorena Yan, Tao Meng, Muhao Chen
  • In Findings of EMNLP, 2024
  • [Paper] [Code]

Robust Natural Language Understanding with Residual Attention Debiasing

  • Fei Wang*, James Y. Huang*, Tianyi Lorena Yan, Wenxuan Zhou, Muhao Chen
  • In Findings of ACL, 2023
  • [Paper] [Code]

💻 Industry Experience

Linkedin Download My CV
May 2023 – August 2023
Diffusion-based Molecule Generation Research Intern, Tsinghua AIR
June 2022 – August 2022
M365 Deployment Software Engineer Intern, Microsoft

🏫 Teaching and Service

January 2022 – May 2024
Teaching Assistant at USC Viterbi School of Engineering
Viterbi School of Engineering @ University of Southern California
February 2021 – May 2023
Leader of USC CSSA Career Development Mentorship Program

✍️ Blogs

🌟 Special Thanks

A big thanks to everyone who has supported me along the way :D

Contact

Email

tianyi.yan `at` columbia.edu

Location

New York, New York