Experts Rise Where LLMs Disagree: Using Cross-Model Disagreement to Target Expert Effort in LLM Codebook Revision for Large-Scale AnnotationZeyu He, Zhuqian Zhou, Kirk Vanacore, Rene F. Kizilcec, Ting-Hao K. Huang
Preprint
[arXiv]
PERSONAJUDGE: Simulating Individual Human Preference Judgments with Evaluator-Specific Demonstration DataZeyu He, Xuan Qi, Subramanian Chidambaram, Zhichao Xu, Vinayak Arannil, Lydia Chilton, Alex C. Williams
The 27th Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2026)
[Paper][arXiv]
How To Steer Your Multi-Agent System: Human-LLM Collaborative PlanningZeyu He, Hannah Kim, Dan Zhang, Estevam Hruschka
ACM Conference on AI and Agentic Systems (ACM CAIS 2026)
🏆 Best Artifact Award[Paper][arXiv]
The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning
Wenqian Ye, Luyang Jiang, Eric Xie, Guangtao Zheng, Yunsheng Ma, Xu Cao, Dongliang Guo, Daiqing Qi, Zeyu He, Yijun Tian, Christopher W. Porter, Megan Coffee, Zhe Zeng, Sheng Li, Ziran Wang, Ting-Hao K. Huang, James M. Rehg, Henry Kautz, Aidong Zhang
Transactions on Machine Learning Research (TMLR 2026)
[Paper][arXiv]
Prompting in the Dark: Assessing Human Performance in Prompt Engineering for Data Labeling When Gold Labels Are Absent.Zeyu He, Saniya Naphade, Ting-Hao K. Huang
The ACM CHI Conference on Human Factors in Computing Systems 2025 (CHI 2025)
[Paper][arXiv]
Human Involvements in Data Annotation in the Era of Large Language ModelsZeyu He
Doctoral Consortium of Conference on Human Computation & Crowdsourcing (HCOMP DC 2024)
What Color Scheme is More Effective in Assisting Readers to Locate Information in a Color-Coded Article?
Ho Yin Ng, Zeyu He, Ting-Hao K. Huang
IEEE Visualization Conference, Short Paper (VIS 2024)
[arXiv]
How Does Conversation Length Impact User's Satisfaction? A Case Study of Length-Controlled Conversations with LLM-Powered Chatbots
Shih-Hong Huang, Ya-Fang Lin, Zeyu He, Chieh-Yang Huang, Ting-Hao K. Huang
In the Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems (CHI LBW 2024)
[Paper][arXiv]
If in a Crowdsourced Data Annotation Pipeline, a GPT-4Zeyu He, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Shaurya Rohatgi, Ting-Hao K. Huang
The ACM CHI Conference on Human Factors in Computing Systems 2024 (CHI 2024)
[Paper][arXiv][Data]
Understanding the Night-Sky? Developing AI-Enabled System for Exploring Night-Light Usage Patterns
Jakob Hederich, Shreya Ghosh, Zeyu He, Prasenjit Mitra
The 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023)
[Paper]
“CloudStation:” A Cloud-Based Ground Control Station for Drones
Lyuyang Hu, Omkar Pathak, Zeyu He, Hunkyu Lee, Mina Bedwany, Jace Mica, Peter J Burke
IEEE Journal on Miniaturization for Air and Space Systems 2.1 (2020): 36-42.
[Paper]