Hello, I am Peiyuan Gong (公培元, in Chinese). Feel free to call me Pei Yuan. I am a first-year Ph.D. student at the Gaoling School of Artificial Intelligence, Renmin University of China, under the supervision of Jiaxin Mao. Before that, I received M.Eng and B.Eng degrees in Computer Science and Technology from Beijing Institute of Technology in 2023 and from Zhengzhou University in 2020, respectively.

My research focuses on information retrieval and natural language processing, having published several papers at the top international AI conferences such as SIGIR, ACL, EMNLP. Currently, I am dedicated to exploring the next generation of search engine with large language models.

Please feel free in touch if you are interested in my research work and want to communicate further.

🔥 News

• 2024.03:  🎉🎉 Two papers are accepted by SIGIR2024!
• 2023.05:  🎉🎉 One paper is accepted by ACL2023!
• 2023.03:  🎉🎉 I will join Renmin University of China to study for Ph.D!
• 2022.11:  🎉🎉 One paper is accepted by EMNLP2022!

📝 Publications

Preprint

• arxiv 2023/12 CoAScore: Chain-of-Aspects Prompting for NLG Evaluation, Peiyuan Gong, Jiaxin Mao

Published

• SIGIR 2024 (Demo) CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models, Peiyuan Gong, Jiamian Li and Jiaxin Mao | Project
• SIGIR 2024 (Short) USimAgent: Large Language Models for Simulating Search Users, Erhan Zhang, Xingzhu Wang, Peiyuan Gong, Yankai Lin and Jiaxin Mao
• ACL 2023 (Oral) TemplateGEC: Improving Grammatical Error Correction with Detection Template, Yinghao Li, Xuebo Liu, Shuo Wang, Peiyuan Gong, Derek F.Wong, Yang Gao, Heyan Huang and Min Zhang | Project
• EMNLP 2022 Revisiting Grammatical Error Correction Evaluation and Beyond, Peiyuan Gong, Xuebo Liu, Heyan Huang and Min Zhang | Project
• NLPCC 2019 Charge Prediction with Legal Attention, Qiaoben bao, Hongying Zan, Peiyuan Gong, Junyi Chen and Yanghua Xiao

📖 Educations

• 2023.09 - 2027.06 (hope), Ph.D, Gaoling School of Artificial Intelligence, Renmin University of China, advised by Associate Prof Jiaxin Mao.
• 2020.09 - 2023.06, Master, School of Copmuter Science and Technology, Beijing Institute of Technology, advised by Prof Heyan Huang and Associate Prof Xianling mao.
• 2016.09 - 2020.06, Undergraduate, School of Computer and Artificial Intelligence, Zhengzhou University, advised by Prof Hongying Zan.

💻 Internships

• 2022.10 - 2023.08, Renmin University of China, advised by Associate Prof Jiaxin Mao.
• 2022.03 - 2022.07, Harbin Institute of Technology, Shenzhen (remote), advised by Assistant Prof Xuebo Liu.
• 2021.10 - 2022.02, Wechat AI, advised by Yong Hu.
• 2019.06 - 2019.08, Westlake University, advised by Prof Yue Zhang.