Paiheng Xu

23 papers A 1Journal 14Unranked 8
YearRankTypeTitle / Venue / Authors
2026 — conf
Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs.
EACL (Findings)
Paiheng Xu, Gang Wu, Xiang Chen, Tong Yu, Chang Xiao, Franck Dernoncourt, Tianyi Zhou, Wei Ai, Viswanathan (Vishy) Swaminathan
2025 — conf
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data.
EMNLP (Findings)
Yuhang Zhou, Jing Zhu, Shengyi Qian, Zhuokai Zhao, Xiyao Wang, Xiaoyu Liu, Ming Li, Paiheng Xu, Wei Ai, Furong Huang
2025 J jnl
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data.
CoRR
Yuhang Zhou, Jing Zhu, Shengyi Qian, Zhuokai Zhao, Xiyao Wang, Xiaoyu Liu, Ming Li, Paiheng Xu, Wei Ai, Furong Huang
2025 A conf
Emojis Decoded: Leveraging ChatGPT for Enhanced Understanding in Social Media Communications.
ICWSM
Yuhang Zhou, Paiheng Xu, Xiyao Wang, Xuan Lu, Ge Gao, Wei Ai
2025 J jnl
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint.
ACM Trans. Knowl. Discov. Data
Paiheng Xu, Yuhang Zhou, Bang An, Wei Ai, Furong Huang
2025 — conf
Large Language Models Struggle to Describe the Haystack without Human Help: A Social Science-Inspired Evaluation of Topic Models.
ACL (1)
Zongxia Li, Lorena Calvo-Bartolomé, Alexander Miserlis Hoyle, Paiheng Xu, Daniel Kofi Stephens, Juan Francisco Fung, Alden Dima, Jordan Lee Boyd-Graber
2025 J jnl
Large Language Models Struggle to Describe the Haystack without Human Help: Human-in-the-loop Evaluation of LLMs.
CoRR
Zongxia Li, Lorena Calvo-Bartolomé, Alexander Miserlis Hoyle, Paiheng Xu, Alden Dima, Juan Francisco Fung, Jordan L. Boyd-Graber
2025 — conf
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey.
NAACL (Findings)
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
2025 J jnl
Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs.
CoRR
Paiheng Xu, Gang Wu, Xiang Chen, Tong Yu, Chang Xiao, Franck Dernoncourt, Tianyi Zhou, Wei Ai, Viswanathan (Vishy) Swaminathan
2024 J jnl
Does Geo-co-location Matter? A Case Study of Public Health Conversations during COVID-19.
CoRR
Paiheng Xu, Louiqa Raschid, Vanessa Frías-Martínez
2024 J jnl
Emojis Decoded: Leveraging ChatGPT for Enhanced Understanding in Social Media Communications.
CoRR
Yuhang Zhou, Paiheng Xu, Xiyao Wang, Xuan Lu, Ge Gao, Wei Ai
2024 — conf
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification.
ACL (1)
Yuhang Zhou, Paiheng Xu, Xiaoyu Liu, Bang An, Wei Ai, Furong Huang
2024 J jnl
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey.
CoRR
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
2024 — conf
Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation.
EMNLP (Findings)
Yuhang Zhou, Jing Zhu, Paiheng Xu, Xiaoyu Liu, Xiyao Wang, Danai Koutra, Wei Ai, Furong Huang
2024 J jnl
Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation.
CoRR
Yuhang Zhou, Jing Zhu, Paiheng Xu, Xiaoyu Liu, Xiyao Wang, Danai Koutra, Wei Ai, Furong Huang
2024 — conf
The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education.
NAACL-HLT
Paiheng Xu, Jing Liu, Nathan Jones, Julie Cohen, Wei Ai
2024 J jnl
The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education.
CoRR
Paiheng Xu, Jing Liu, Nathan Jones, Julie Cohen, Wei Ai
2023 J jnl
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification.
CoRR
Yuhang Zhou, Paiheng Xu, Xiaoyu Liu, Bang An, Wei Ai, Furong Huang
2023 J jnl
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint.
CoRR
Paiheng Xu, Yuhang Zhou, Bang An, Wei Ai, Furong Huang
2023 J jnl
Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps.
CoRR
Zongxia Li, Paiheng Xu, Fuxiao Liu, Hyemi Song
2021 — conf
Using Noisy Self-Reports to Predict Twitter User Demographics.
SocialNLP@NAACL
Zach Wood-Doughty, Paiheng Xu, Xiao Liu, Mark Dredze
2020 J jnl
The Twitter Social Mobility Index: Measuring Social Distancing Practices from Geolocated Tweets.
CoRR
Paiheng Xu, Mark Dredze, David A. Broniatowski
2020 J jnl
Using Noisy Self-Reports to Predict Twitter User Demographics.
CoRR
Zach Wood-Doughty, Paiheng Xu, Xiao Liu, Mark Dredze