I am a second-year CS Ph.D. student at the LAUNCH Lab, University of Michigan – Ann Arbor, advised by Prof. Lu Wang. I obtained my Bachelor’s degree from Peking University, advised by Prof. Xiaojun Wan.

I work on natural language processing (NLP), with a research focus on knowledge and reasoning in large language models (LLMs).

I am looking for 2024 summer research internship opportunities!

News

• 2023-10: One paper is accepted to EMNLP 2023 on open-domain question answering!
• 2023-09: I have passed my prelim exam!
• 2023-09: One paper is accepted to NeurIPS 2023 Datasets and Benchmarks Track on generative commonsense reasoning!

Publications

(* denotes equal contribution)

2023

• Merging Generated and Retrieved Knowledge for Open-Domain QA
  Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
  EMNLP 2023 [paper] [code]
• SituatedGen: Incorporating Geographical and Temporal Contexts into Generative Commonsense Reasoning
  Yunxiang Zhang, Xiaojun Wan
  NeurIPS 2023 Datasets and Benchmarks Track [paper] [data]
• Investigating Zero- and Few-shot Generalization in Fact Verification
  Liangming Pan*, Yunxiang Zhang*, Min-Yen Kan
  AACL-IJCNLP 2023 [paper]

2022

• MOVER: Mask, Over-generate and Rank for Hyperbole Generation
  Yunxiang Zhang, Xiaojun Wan
  NAACL 2022 [paper] [code]
• Interpreting the Robustness of Neural NLP Models to Textual Perturbations
  Yunxiang Zhang, Liangming Pan, Samson Tan, Min-Yen Kan
  Findings of ACL 2022 [paper]
• BiRdQA: A Bilingual Dataset for Question Answering on Tricky Riddles
  Yunxiang Zhang, Xiaojun Wan
  AAAI 2022 [paper] [data]

Services

Program Committee Member / Reviewer: EMNLP (2022, 2023), ACL (2023), CoNLL (2023), ML4Health (2023), ACM Computing Surveys