Paiheng Xu
徐 徘 衡
8125 Paint Branch Dr, Room 4104
College Park, Maryland 20742
I am a third-year CS Ph.D. student at the University of Maryland’s Computational Linguistics and Information Processing (CLIP) lab, advised by Wei Ai. My research interests are Natural Language Processing and Computational Social Science. I am interested in understanding human communications in various contexts by developing NLP tools that are explainable, causal, and fair. Currently, I am working on identifying equity-centered teaching practices in the classroom and effective messaging strategies for public health on social media.
In the past, I have interned at Adobe Research. Previously, I graduated from Johns Hopkins University with M.S.E in Computer Science, where I worked with Mark Dredze at Center for Language and Speech Processing. I obtained my B.E in Computer Science from Southwest University, where I worked with Yong Deng on Complex Network, and Tao Zhou on Human Mobility.
News
Mar 2024 | Our paper The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education is accepted to NAACL 2024! |
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Mar 2024 | Our survey on Large Language Models and Causal Inference is online now. Feedback is welcomed. |
Jan 2024 | Our paper Twitter social mobility data reveal demographic variations in social distancing practices during the COVID-19 pandemic is available on Scientific Reports! |
Nov 2023 | Our paper on concept level spurious correlations for text classification is online. |
Selected Publications
- The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in EducationIn To appear in NAACL-HLT , 2024