Hi! I am an assistant professor Natural Language Processing Department at MBZUAI. I got my Ph.D degree at KAUST supervised by Prof. Xiangliang Zhang and Prof. Xin Gao. Prior to KAUST, I got my B.S degree in Computer Science at Wuhan University supervised by Prof. Qian Wang and my M.S degree in Peking University, supervised by Prof. Rui Yan and Prof. Dongyan Zhao.

I have wide-ranging interests in research topics related to natural language processing and text generation. My specific focus is on enhancing the trustworthiness of generated text, which includes aspects such as robustness, faithfulness, and explainability. Additionally, I am interested in knowledge-enhanced text generation for high-stakes domain applications, particularly in the scientific, medical, and social fields.

I am actively looking for highly motivated Postdocs, PhD students, masters, and interns. If you are interested in working with me on generative language models, LLM-based agents, and related interdisciplinary topics please feel free to contact me at xiuying.chen@mbzuai.ac.ae. Here are some suggestions for preparing the email:

  • Please use Subject Line as: “RA/Master/PhD Prospective Student \$YourName”

  • Please highlight your publications (if applicable), GPA/ranking, TOEFL and IELTS scores, and anything important

  • Attach your CV

  • I will carefully read every email and do my best to respond

🔥 News

  • 2024.4: 🎉 One paper accepted by SIGIR 2024
  • 2024.4: 🎉 One paper accepted by IJCAI 2024
  • 2024.2: 🎉 Invited to be Action Editor for ACL and ARR Feb
  • 2024.1: 🎉 Invited to be a Reviewer for ICML 2024
  • 2024.1: 🎉 One paper is accepted by WWW 2024
  • 2023.10: 🎉 One paper is accepted by WSDM 2024
  • 2023.9: 🎉 Two paper are accepted by EMNLP 2023
  • 2023.05: Four papers are accepted by ACL 2023

📝 Selected Publications

🧑‍🎨 Trustworthiness

🎙 High-stake applications

📒 Survey

🎖 Awards

  • 2023 CEMSE Dean’s List Award, KAUST
  • 2022 Hornbill Elite Programme
  • 2022 SIGIR Student Travel Grant
  • 2022 CEMSE Dean’s List Award, KAUST
  • 2021 Outstanding Graduate, Beijing
  • 2020 Scientific Research Award, Peking University
  • 2019-2020 National Scholarship, Peking University
  • 2019-2020 Merit Student, Peking University
  • 2017-2018 National Scholarship, Wuhan University

💬 Invited Talks and Tutorials

  • 2023.09, AI Generated Text: Unlocking Accuracy, Trust, and Progress, Wuhan University
  • 2023.03, Improving Abstractive Summarization Systems by Addressing Informativeness, Faithfulness, and Robustness, Renmin University of China
  • 2023.03, Improving Abstractive Summarization Systems by Addressing Informativeness, Faithfulness, and Robustness, Shandong University
  • IJCAI 2021, From Standard Summarization to New Tasks and Beyond: Tasks and Methods of Summarization with Manifold Information

💻 Internships

⭐ Services

  • 2024, Program Committee, ICLR, ICML, Action Editor, ACL, EMNLP
  • 2023, Program Committee, AAAI, ACL, EMNLP, IJCAI, SIGIR, NeurIPS.
  • 2022, Program Committee, AAAI, ACL, EMNLP, IJCAI, SIGIR.
  • 2021, Program Committee, AAAI, ACL, EMNLP, SIGIR, Senior Program Committee, IJCAI.

🎨 Miscellaneous

I enjoy reading novels as much as I love research. “Romance of the Three Kingdoms,” “Dream of the Red Chamber,” “Fortress Besieged,” “Laughing in the Wind,” and “Gone with the Wind”… are among my favorite books. To me, it is an eternal and fascinating question of how to tell your story or present your research in an engaging way so that others can be attracted and feel excited as well. The goal I pursue in writing is to “simplify like the autumn tree, and innovate like the February flower” – a Chinese idiom that means to streamline and refine while also introducing fresh and original ideas.