Pronouns: she/her
My name in Chinese:
刘禹菡
👋 Hi there!
I am a second-year PhD student at New York University, supervised by Prof. Eunsol Choi. Previously I worked with Yulia Tsvekov(Prof @UW).
🌋 Research Interests
My research interest lies in developing training and inference methods of machine learning. Recently, I’ve been thinking about:
- real-world interactions between LLMs and human users, and aspects of evaluation.
- when LLMs should be certain and when to be diverse? How to achieve it?
What’s NEW
Aug 2025 🥳First-authored Paper “User Feedback in Human-LLM Dialogues:A Lens to Understand Users But Noisy as a Learning Signal” accepted to EMNLP 2025, Main Conference!
Aug 2024 Begin my CS PhD program at NYU Courant🗽
Dec 2023 Sensetime Scholarship 2023! ✌️ 🎉
Jul 2023 ACL Best Paper Award 🎉for our work “From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models”
📜 Selected Publications
Please see my Google Scholar or Semantic Scholar profiles for the full list.
(*: equal contribution)
User Feedback in Human-LLM Dialogues:
A Lens to Understand Users But Noisy as a Learning Signal
Yuhan Liu, Michael J.Q. Zhang, Eunsol Choi
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration
Shangbin Feng, Taylor Sorensen, Yuhan Liu, Jillian Fisher, Chan Young Park, Yejin Choi, Yulia Tsvetkov
EMNLP 2024. [paper]
P^3SUM: Preserving Author's Perspective in News Summarization with Diffusion Language Models
Yuhan Liu*, Shangbin Feng*, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov
Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models
Wenxuan Ding*, Shangbin Feng*, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
ACL 2023 🏆 Best Paper Award. [paper] [code] [Washington Post] [ MIT Tech Review] [Montreal AI Ethics Institute] [ Better Conflict Bulletin]
BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts
TwiBot-22: Towards Graph-Based Twitter Bot Detection
Shangbin Feng*, Zhaoxuan Tan*, Herun Wan*, Ningnan Wang*, ..., Qinghua Zheng, ..., Yuhan Liu, ..., Jundong Li, Minnan Luo
🏝️ Miscellaneous
- Previous to my undergraduate, I was in the Young Talented Program.
- I love jogging, and I have completed 2 marathons in my university.