The Twitter Social Mobility Index: Measuring Social Distancing Practices from Geolocated Tweets. - Paiheng Xu; Mark Dredze; David A. Broniatowski (CoRR, 2020)

Using Noisy Self-Reports to Predict Twitter User Demographics. - Zach Wood-Doughty; Paiheng Xu; Xiao Liu; Mark Dredze (SocialNLP@NAACL, 2021)

Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps. - Zongxia Li; Paiheng Xu; Fuxiao Liu; Hyemi Song (CoRR, 2023)

Explore Spurious Correlations at the Concept Level in Language Models for Text Classification. - Yuhang Zhou; Paiheng Xu; Xiaoyu Liu 003; Bang An 001; Wei Ai 002; Furong Huang (ACL (1), 2024)

Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation. - Yuhang Zhou; Jing Zhu 005; Paiheng Xu; Xiaoyu Liu 003; Xiyao Wang; Danai Koutra; Wei Ai 002; Furong Huang (EMNLP (Findings), 2024)

The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education. - Paiheng Xu; Jing Liu 064; Nathan Jones; Julie Cohen; Wei Ai 002 (NAACL-HLT, 2024)

Does Geo-co-location Matter? A Case Study of Public Health Conversations during COVID-19. - Paiheng Xu; Louiqa Raschid; Vanessa Frías-Martínez (CoRR, 2024)

Large Language Models Struggle to Describe the Haystack without Human Help: A Social Science-Inspired Evaluation of Topic Models. - Zongxia Li; Lorena Calvo-Bartolomé; Alexander Miserlis Hoyle; Paiheng Xu; Daniel Kofi Stephens; Juan Francisco Fung; Alden Dima; Jordan Lee Boyd-Graber (ACL (1), 2025)

Emojis Decoded: Leveraging ChatGPT for Enhanced Understanding in Social Media Communications. - Yuhang Zhou; Paiheng Xu; Xiyao Wang; Xuan Lu; Ge Gao 001; Wei Ai 002 (ICWSM, 2025)

Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey. - Xiaoyu Liu 003; Paiheng Xu; Junda Wu; Jiaxin Yuan; Yifan Yang 006; Yuhang Zhou; Fuxiao Liu; Tianrui Guan; Haoliang Wang; Tong Yu 001; Julian J. McAuley; Wei Ai 002; et al. (NAACL (Findings), 2025)

Large Language Models Struggle to Describe the Haystack without Human Help: Human-in-the-loop Evaluation of LLMs. - Zongxia Li; Lorena Calvo-Bartolomé; Alexander Miserlis Hoyle; Paiheng Xu; Alden Dima; Juan Francisco Fung; Jordan L. Boyd-Graber (CoRR, 2025)

Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs. - Paiheng Xu; Gang Wu 013; Xiang Chen; Tong Yu 001; Chang Xiao; Franck Dernoncourt; Tianyi Zhou 001; Wei Ai 002; Viswanathan (Vishy) Swaminathan (CoRR, 2025)

GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint. - Paiheng Xu; Yuhang Zhou; Bang An 001; Wei Ai 002; Furong Huang (ACM Trans. Knowl. Discov. Data, 2025)

DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data. - Yuhang Zhou; Jing Zhu 005; Shengyi Qian 001; Zhuokai Zhao; Xiyao Wang; Xiaoyu Liu 003; Ming Li; Paiheng Xu; Wei Ai 002; Furong Huang (CoRR, 2025)