Caiqi Zhang

🙋 About Me

I am a second year Ph.D. student at the University of Cambridge, working under the supervision of Prof. Nigel Collier. Previously, I completed my MPhil degree at Cambridge, focusing on fact-checking under the guidance of Prof. Andreas Vlachos and Dr. Zhijiang Guo. During my undergraduate studies, I completed my capstone project with Prof. Wenjie Li on conversational QA systems and interned at UCLA under the supervision of Dr. Nanyun Peng.

🧐 Research Interests

• Factuality in Large Language Models: How can we reduce hallucinations in LLMs?
• Uncertainty in Large Language Models: How can we quantify the uncertainty of LLMs for a given question?

📚 Education

• 2023.10 - Present: University of Cambridge, Ph.D. in Computation, Cognition and Language.
  • Fully funded by Amazon Studentship.
• 2022.10 - 2023.06: University of Cambridge, M.Phil. in Advanced Computer Science.
  • Pass with Distinction (Grade: 81%).
• 2018.09 - 2022.06: The Hong Kong Polytechnic University, B.Sc. in Computing.
  • Awarded the highest award for undergraduates: Outstanding Student of the Faculty of Engineering 2021/22. (Only 1 from more than 1000 students.) [News][Sharing][YouTube][Facebook][WeChat]

👨‍💻 Internships

• PolyU NLP Group; Research Assistant; Mar 2021 - June 2022
• PlusLab; University of California, Los Angeles; Research Intern; 2021 Summer
• Tencent AI Lab; Research Intern; 2024 Summer

📝 Publications

† denotes equal contribution.

Core Research: Uncertainty in LLMs

• Conformity in Large Language Models
  Preprint
  Xiaochen Zhu†, Caiqi Zhang†, Tom Stafford, Nigel Collier, Andreas Vlachos

• LoGU: Long-form Generation with Uncertainty Expressions
  Preprint
  Ruihan Yang†, Caiqi Zhang†, Zhisong Zhang, Xinting Huang, Sen Yang, Nigel Collier, Dong Yu, Deqing Yang

• Atomic Calibration of LLMs in Long-Form Generations
  Preprint
  Caiqi Zhang, Ruihan Yang, Zhisong Zhang, Xinting Huang, Sen Yang, Dong Yu, Nigel Collier

• LUQ: Long-text Uncertainty Quantification for LLMs
  EMNLP 2024 Main
  Caiqi Zhang, Fangyu Liu, Marco Basaldella, Nigel Collier.

Other First & Co-First Papers

• Do We Need Language-Specific Fact-Checking Models? The Case of Chinese
  EMNLP 2024 Main
  Caiqi Zhang, Zhijiang Guo, Andreas Vlachos.

• TopViewRS: Vision-Language Models as Top-View Spatial Reasoners
  EMNLP 2024 Main (Oral)
  Chengzu Li†, Caiqi Zhang†, Han Zhou, Nigel Collier, Anna Korhonen, Ivan Vulić.

Other Collaborations

• Can Large Language Models Generate High-quality Patent Claims?
  NAACL 2025 Findings
  Lekang Jiang, Caiqi Zhang, Pascal A Scherz, Stephan Goetz

• Language is All a Graph Needs
  EACL 2024 Findings
  Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, Yongfeng Zhang.

• Learning to Infer Action-Condition Dependencies from Instructional Manuals for Structural Instruction Understanding
  ACL 2023 Main
  Te-Lin Wu, Caiqi Zhang, Carol Hu, Alex Spangher, Nanyun (Violet) Peng.

Less is more. -Ludwig Mies Van der Rohe