Hi! I am an assistant professor in 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 PhD students, masters, and interns with a scholarship covering: flight ticket, tuition, health insurance, visa, plus a monthly stipend (MSc: AED 8,000 and PhD: AED 10,000). 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

🔥 News

• 2025.1: 🎉 One paper accepted by NAACL 2025
• 2025.1: 🎉 One paper accepted by Communications Chemistry (impact factor 6.581)
• 2024.11: 🎉 One paper accepted by COLING 2025
• 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

📝 Selected Publications

🧑‍🎨 Trustworthiness

• SIGIR 2024 Flexible and Adaptable Summarization via Expertise Separation, Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qingqing Zhu, Xin Gao, Xiangliang Zhang. Code

• ACL 2023 Improving the Robustness of Summarization Systems with Dual Augmentation, Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang. Code

• SIGIR 2023 A Topic-aware Summarization Framework with Different Modal Side Information, Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qiang Yang, Qishen Zhang, Xin Gao, Xiangliang Zhang.

• AAAI 2023 Learning towards Selective Data Augmentation for Dialogue Generation, Xiuying Chen, Mingzhe Li, Jiayi Zhang, Xiaoqiang Xia, Chen Wei, Jianwei Cui, Xin Gao.

• NeurIPS 2022 Towards Improving Faithfulness in Abstractive Summarization, Xiuying Chen, Mingzhe Li, Xin Gao, Xiangliang Zhang. Code

• TOIS 2022 Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order, Xiuying Chen, Mingzhe Li, Shen Gao, Zhangming Chan, Dongyan Zhao, Xin Gao, Xiangliang Zhang, Rui Yan. Code

🎙 High-stake applications

• IJCAI 2024 From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News, Yuhan Liu, Xiuying Chen, Xiaoqing Zhang, Xing Gao, Ji Zhang, Rui Yan.

• EMNLP 2022 Scientific Paper Extractive Summarization Enhanced by Citation Graphs, Xiuying Chen, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang.

• SIGIR 2022 Target-aware Abstractive Related Work Generation with Contrastive Learning, Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang. Code

• ACL 2021 Capturing Relations between Scientific Papers: An Abstractive Model for Related Work Section Generation, Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Xiangliang Zhang, Dongyan Zhao, Rui Yan. Code

📒 Survey

• IJCAI survey track Large language model based multi-agents: A survey of progress and challenges, Taicheng Guo, Xiuying Chen, Yaqi Wang, Ruidi Chang, Shichao Pei, Nitesh V Chawla, Olaf Wiest, Xiangliang Zhang.

• Briefings in Bioinformatics 2023 Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health, Shubo Tian, Qiao Jin, Lana Yeganova, Po-Ting Lai, Qingqing Zhu, Xiuying Chen, et al.

• arxiv Interactive Natural Language Processing, Zekun Wang, Ge Zhang, Kexin Yang, Ning Shi, Wangchunshu Zhou, Shaochun Hao, Guangzheng Xiong, Yizhi Li, Mong Yuan Sim, Xiuying Chen, Qingqing Zhu, Zhenzhu Yang, Adam Nik, Qi Liu, Chenghua Lin, Shi Wang, Ruibo Liu, Wenhu Chen, Ke Xu, Dayiheng Liu, Yike Guo, Jie Fu

🎖 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

• 2022.05 - 2022.10, Microsoft, Beijing. Mentor: Chongyang Tao
• 2020.01 - 2020.12, Xiaomi, Beijing. Mentor: Jianwei Cui
• 2019.03 - 2019.10, IIAI, Abu Dhabi, United Arab Emirates. Mentor: Li Liu

⭐ 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.

👥 Team Members

Research Associates: Zirui Song, Lang Gao, Kaiyang Wan, Yougang Lyu, Zixiang Xu, Yanbo Wang

PhD Students: Zixiao Wang, Chong Tian (Co-supervised with Qirong Ho)

Master Students: Chenxi Wang, Ishita Agarwal, Besher Hassan (Co-supervised with Fajri Koto), Muhammad Cendekia Airlangga (Co-supervised with Kentaro Inui), Dequan Yang, Guoming Li

Past Research Associates: Tianle Gu, Xueran Han

Talk to them if you want to know our lab better!

🎨 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.