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Pronouns: she/her

My name in Chinese:

刘禹菡

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Medals of my team in a marathon race.

Medals of my team in a marathon race.

👋 Hi there!

I am a second-year PhD student at New York University (Courant Institute). Previously I worked with Yulia Tsvekov(Prof @UW). I obtained my bachelor’s degree in EE from Xi’an Jiaotong Univerity, advised by Prof. Minnan Luo.

🌋 Research Interests

My research interest lies in developing training and inference methods of machine learning. I’ve been interested in how LLMs can better assist human in long horizon tasks.

https://lyh6560new.github.io/notion-personal-website-assets/whats-new-scrollable.html

📜 Selected Publications

Please see my Google Scholar or  Semantic Scholar profiles for the full list.

(*: equal contribution)


No Single Best Model for Diversity: Learning a Router for Sample Diversity

Yuhan Liu, Fangyuan Xu, Vishakh Padmakumar, Daphne Ippolito, Eunsol Choi

COLM 2026.[paper][website][code]

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

EMNLP 2025. [paper][code]

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 KumarYulia Tsvetkov

NAACL 2024. [paper][code]

Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models

Wenxuan DingShangbin FengYuhan LiuZhaoxuan TanVidhisha BalachandranTianxing HeYulia Tsvetkov

ACL 2024. [paper] [code]

From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

Shangbin FengChan Young ParkYuhan LiuYulia Tsvetkov

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

Yuhan LiuZhaoxuan TanHeng WangShangbin FengQinghua ZhengMinnan Luo

SIGIR 2023 [paper]  [ code]

TwiBot-22: Towards Graph-Based Twitter Bot Detection

Shangbin FengZhaoxuan TanHerun WanNingnan Wang, ..., Qinghua Zheng, ..., Yuhan Liu, ..., Jundong LiMinnan Luo

NeurIPS 2022, Datasets and Benchmarks Track  [ website]  [ paper]   [code]   [poster]

🏝️ Miscellaneous