Zhongxiang Sun (孙忠祥)
He is currently a Ph.D. student at Gaoling School of Artificial Intelligence, Renmin University of China. His supervisor is Prof. Jun Xu. His major research interests are Trustworthy LLMs for Information Retrieval (Hallucination, Reasoning, Explainable), Legal AI, etc.
Education
- 08.2022-present Ph.D. candidate, Gaoling School of Artificial Intelligence, Renmin University of China.
- 08.2018-06.2022 Bachelor of Computer Science and Technology, Beijing Jiaotong University (Rank 1 Top 0.4%).
Publications
- Zhongxiang Sun, Qipeng Wang, Weijie Yu, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Song Yang, Han Li. ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding (SIGIR 2025 CCF-A)
- Xiaopeng Ye, Chen Xu, Zhongxiang Sun, Jun Xu, Gang Wang, Zhenhua Dong, Ji-Rong Wen. CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry (SIGIR 2025 CCF-A)
- Zhongxiang Sun, Xiaoxue Zang, Kai Zheng, Yang Song, Jun Xu, Xiao Zhang, Weijie Yu, Han Li. ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability (ICLR 2025) Spotlight Top 5.1 % ! paper
- Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu. LargePiG: Your Large Language Model is Secretly a Pointer Generator (WWW 2025 CCF-A) paper
- K Zhang, Z Sun, X Zhang, X Zang, K Zheng, Y Song, J Xu. Trigger3: Refining Query Correction via Adaptive Model Selector (AAAI 2024 CCF-A)
- Zihua Si, Zhongxiang Sun, Jiale Chen, Guozhang Chen, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu and Kun Gai. Generative Retrieval with Semantic Tree-Structured Identifiers and Contrastive Learning (SIGIR-AP 2024) Best Paper Award !
- Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang and Jun Xu. Large Language Models Enhanced Collaborative Filtering (CIKM 2024 CCF-B) paper
- Zihua Si, Lin Guan, Zhongxiang Sun, Xiaoxue Zang, etc. Twin v2: Scaling ultra-long user behavior sequence modeling for enhanced ctr prediction at kuaishou (CIKM 2024 ADS CCF-B)
- ZhongXiang Sun, Kepu Zhang*, Haoyu Wang, Xiao Zhang, Jun Xu Effective In-Context Example Selection through Data Compression (ACL 2024 short finding CCF-A) paper
- Zhongxiang Sun, Zihua Si, Xiao Zhang, Xiaoxue Zang, Yang Song, Hongteng Xu and Jun Xu. To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process (SIGIR 2024 CCF-A) paper
- Zhongxiang Sun, Kepu Zhang, Weijie Yu, Haoyu Wang, Jun Xu. Logic Rules as Explanations for Legal Case Retrieval (COLING 2024 CCF-B)
- Zhongxiang Sun, Weijie Yu, Zihua Si, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen. Explainable Legal Case Matching via Graph Optimal Transport (TKDE 2023 CCF-A) paper
- Zhongxiang Sun, Zihua Si*, Xiaoxue Zang, Dewei Leng, Yanan Niu, Yang Song, Xiao Zhang, Jun Xu. KuaiSAR: A Unified Search And Recommendation Dataset (CIKM 2023 CCF-B)
- Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu. Uncovering ChatGPT’s Capabilities in Recommender Systems (RecSys 2023 CCF-B)
- Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen. When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. (SIGIR 2023 CCF-A)
- Z Sun, J Xu, X Zhang, Z Dong, JR Wen. Law Article-Enhanced Legal Case Matching: a Causal Learning Approach. (SIGIR 2023 CCF-A)
- Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Yang Song, Xiaoxue Zang, Ji-Rong Wen. Enhancing Recommendation with Search Data in a Causal Learning Manner. (TOIS 2023 CCF-A)
- Haomin Wen, Youfang Lin, Fan Wu, Huaiyu Wan, Zhongxiang Sun, Tianyue Cai, Hongyu Liu, Shengnan Guo, Jianbing Zheng, Chao Song, Lixia Wu. Enough Waiting for the Couriers — Learning to Estimate Package Pick-up Arrival Time from Couriers’ Spatial-Temporal Behaviors.(TITS 2022)
- G Song, J Yang, L He, Z Wang, G Li, C Duan, Y Liu, Z Sun. AddrMiner: A Comprehensive Global Active IPv6 Address Discovery System. (USENIX ATC 22 CCF-A)
- W Yu, Z Sun, J Xu, Z Dong, X Chen, H Xu, JR Wen. Explainable legal case matching via inverse optimal transport-based rationale extraction. (SIGIR 2022 CCF-A).
Awards
- The National Scholarship 2024 (The highest scholarship for students in China).
- 2024 China Association for Science and Technology Youth Talent Support Program for PhD Students (2024年度中国科协青年人才托举工程博士生专项计划).
- Renmin University of China Innovative Talent Program.
- SIGIR-AP 2024 Best Paper Award.
Teaching
- Teaching Assistant, Introduction to Big Data Analytics in RUC, Fall 2022, 2023
- Teaching Assistant, Python in RUC, Spring 2023
Work Experience
- Kuaishou: Research Intern
- February. 2022 ~ Now
- Advisor: Xiaoxue Zang, Kai Zheng, Yang Song
- CAIL 2022: Committee Member .
- WWW 2024, 2025(CCF A): Reviewer.
- SIGIR 2024, 2025(CCF A): PC Member.
- TOIS(CCF A) Reviewer.
- TASLP(CCF B) Reviewer.
- CIKM 2023, 2024(CCF B): PC Member.