Hi! I'm Xiaodong
About me
I am currently a Computer Science PhD student at University of Pennsylvania, as well as a research assistant in the Cognitive Computational Group, advised by Professor Dan Roth. Before coming to Penn, I was a master's student at University of Illinois, Urbana-Champaign.
My research generally focuses on Natural Language Processing, and my research interests include Open-domain QA, Event/Entity Linking, Event/Entity Coreference Resolution, and Named Entity Recognition. My current research focuses on assessing and mitigating the hallucination of LLMs on factual knowledge.
Email: xdyu AT seas DOT upenn DOT edu
I'm looking for full-time Research Scientist job. Feel free to reach out!
Publications
Automatic Hallucination Assessment for Aligned Large Language Models via Transferable Adversarial Attacks
Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao
arXiv preprint, 2023
Link: [PDF]
Building Interpretable and Reliable Open Information Retriever for New Domains Overnight
Xiaodong Yu*, Ben Zhou*, Dan Roth (* Equal Contribution)
arXiv preprint, 2023
Link: [PDF]
Event Linking: Grounding Event Mentions to Wikipedia
Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Link: [PDF]
Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts
Ben Zhou, Kyle Richardson, Xiaodong Yu, Dan Roth
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Link: [PDF]
Capturing the Content of a Document through Complex Event Identification
Zheng Qi, Elior Sulem, Haoyu Wang, Xiaodong Yu, Dan Roth
The 11th Joint Conference on Lexical and Computational Semantics (*SEM), 2022
Link: [PDF]
Pairwise Representation Learning for Event Coreference
Xiaodong Yu, Wenpeng Yin, Dan Roth
The 11th Joint Conference on Lexical and Computational Semantics (*SEM), 2022
Link: [PDF]
RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System
Haoyang Wen, Ying Lin, Tuan Manh Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Ren Fung, Piyush Mishra, Qing Lyu, Dídac Surís, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL Demonstrations), 2021
Link: [PDF]
Design Challenges in Low-resource Cross-lingual Entity Linking
Xingyu Fu*, Weijia Shi*, Xiaodong Yu, Zian Zhao, Dan Roth
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Link: [PDF]
On the Strength of Character Language Models for Multilingual Named Entity Recognition (short paper)
Xiaodong Yu, Stephen Mayhew, Mark Sammons, Dan Roth
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018
Link: [PDF]
CogCompNLP: Your Swiss Army Knife for NLP
Daniel Khashabi, Mark Sammons, Ben Zhou, Tom Redman, Christos Christodoulopoulos, Vivek Srikumar, Nicholas Rizzolo, Lev Ratinov, Guanheng Luo, Quang Do, Chen-Tse Tsai, Subhro Roy, Stephen Mayhew, Zhili Feng, John Wieting, Xiaodong Yu, Yangqiu Song, Shashank Gupta, Shyam Upadhyay, Naveen Arivazhagan, Qiang Ning, Shaoshi Ling, Dan Roth
11th Language Resources and Evaluation Conference (LREC), 2018
Link: [PDF]
Education
2019/05 - present: University of Pennsylvania
PhD in Computer and Information Science
Advisor: Professor Dan Roth
2017/08 - 2019/05: University of Illinois Urbana-Champaign
Master of Science in Computer Science
Advisor: Professor Dan Roth
2016/01 - 2017/05: University of Illinois Urbana-Champaign
Bachelor of Science in Computer Science
Advisor: Professor Dan Roth
2013/09 - 2015/12: Shanghai Jiao Tong University
Electrical and Computer Engineering
Working Experience
2023/05 - 2023/08: Microsoft Research (Deep Learning Group)
Research Intern
2022/05 - 2022/08: Amazon (Alexa AI-Web Info)
Applied Scientist Intern
2020/05 - 2020/08: Salesforce Research
Research Intern
2018/05 - 2018/08: Brain, LLC
Research Intern