Paiheng Xu

According to our database, Paiheng Xu authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data.

Yuhang Zhou, Jing Zhu, Shengyi Qian, Zhuokai Zhao, Xiyao Wang, Xiaoyu Liu, Ming Li, Paiheng Xu, Wei Ai, Furong Huang

CoRR, May, 2025

GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint.

Paiheng Xu, Yuhang Zhou, Bang An, Wei Ai, Furong Huang

ACM Trans. Knowl. Discov. Data, April, 2025

Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs.

Paiheng Xu, Gang Wu, Xiang Chen, Tong Yu, Chang Xiao, Franck Dernoncourt, Tianyi Zhou, Wei Ai, Viswanathan (Vishy) Swaminathan

CoRR, April, 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, February, 2025

Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey.

Xiaoyu Liu, Paiheng Xu, Junda Wu, Jiaxin Yuan, Yifan Yang, Yuhang Zhou, Fuxiao Liu, Tianrui Guan, Haoliang Wang, Tong Yu, Julian J. McAuley, Wei Ai, Furong Huang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Emojis Decoded: Leveraging ChatGPT for Enhanced Understanding in Social Media Communications.

Yuhang Zhou, Paiheng Xu, Xiyao Wang, Xuan Lu, Ge Gao, Wei Ai

Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education.

Paiheng Xu, Jing Liu, Nathan Jones, Julie Cohen, Wei Ai

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation.

Yuhang Zhou, Jing Zhu, Paiheng Xu, Xiaoyu Liu, Xiyao Wang, Danai Koutra, Wei Ai, Furong Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Explore Spurious Correlations at the Concept Level in Language Models for Text Classification.

Yuhang Zhou, Paiheng Xu, Xiaoyu Liu, Bang An, Wei Ai, Furong Huang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps.

Zongxia Li, Paiheng Xu, Fuxiao Liu, Hyemi Song

CoRR, 2023

2021

Using Noisy Self-Reports to Predict Twitter User Demographics.

Zach Wood-Doughty, Paiheng Xu, Xiao Liu, Mark Dredze

Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media, 2021

2020

The Twitter Social Mobility Index: Measuring Social Distancing Practices from Geolocated Tweets.

Paiheng Xu, Mark Dredze, David A. Broniatowski

CoRR, 2020