Hello, I am Peiyuan Gong (公培元, in Chinese). Feel free to call me Pei Yuan. I am a third-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.

Currently, I am the CEO of KnowBox, an AI+Search startup. We built the world’s first search platform combining large-scale AI models with content distribution to solve long-tail and complex questions that traditional search often misses. Through Human-AI Interaction, we create high-quality content faster, and we believe AI will rapidly expand the boundaries of human knowledge. Detailed information can be found at https://kbox.aicelv.com.

Thanks to my team for their dedication and hard work in pursuing our company’s objectives. Please feel free to contact me anytime if you have any questions about our platform.

🔥 News

• 2025.12:  🎉🎉 Our startup project KnowBox is now live — designed to unlock infinite creative possibilities in every search through seamless human‑AI interaction. Try it out and explore the future of creativity!
• 2024.09:  🎉🎉 We are hosting a task on “Legal Element and Controversy Focus Identification (法律要素和争议焦点识别)” at the CAIL 2024 competition and warmly invite everyone to participate (CAIL 2024)！
• 2024.07:  🎉🎉 Our paper titled “CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models” was selected as a nominee for the Best Short Paper Award of SIGIR 2024 (Twitter)!
• 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

• SIGIR 2024 [Best Short Paper Nominee] CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models, Peiyuan Gong, Jiamian Li and Jiaxin Mao | Project
• EMNLP 2022 Revisiting Grammatical Error Correction Evaluation and Beyond, Peiyuan Gong, Xuebo Liu, Heyan Huang and Min Zhang | Project
• arxiv 2025/10 CardRewriter: Leveraging Knowledge Cards for Long-Tail Query Rewriting on Short-Video Platforms, Peiyuan Gong*, Feiran Zhu*, Yaqi Yin*, Chenglei Dai, Chao Zhang, Kai Zheng, Wentian Bao, Jiaxin Mao and Yi Zhang
• arxiv 2023/12 CoAScore: Chain-of-Aspects Prompting for NLG Evaluation, Peiyuan Gong, Jiaxin Mao
• SIGIR 2025 Exploring human-like thinking in search simulations with large language models, Erhan Zhang, Xingzhu Wang, Peiyuan Gong, Yankai Lin and Jiaxin Mao
• SIGIR 2024 USimAgent: Large Language Models for Simulating Search Users, Erhan Zhang, Xingzhu Wang, Peiyuan Gong, Zixuan Yang 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
• 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

• 2024.09 - Present, Kuaishou Technology, Beijing, advised by Kai Zheng
• 2022.10 - 2023.08, Renmin University of China, Beijing, 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, Beijing, advised by Yong Hu.
• 2019.06 - 2019.08, Westlake University, Hangzhou, advised by Prof Yue Zhang.

🎖 Honors and Awards

• 2024, SIGIR Best Short Paper Nominee