
Ruiyang Ren
任瑞阳
Ph.D. Candidate
AIBOX Group Gaoling School of Artificial Intellegence Renmin University of ChinaBiography
Ruiyang Ren is a 3rd-year Ph.D. student in Artificial intelligence at Gaoling School of Artificial Intellegence, Renmin University of China (RUC). His supervisor is Prof. Wayne Xin Zhao. He completed his M.E. at RUC (2022), supervised by Prof. Ji-Rong Wen and Wayne Xin Zhao, and B.E. of Computer Science and Technology at Taishan College, Shandong University (2019) supervised by Prof. Xuemeng Song and Liqiang Nie. His current research interests include information retrieval and large language models.
Correspondence
reyon.ren [at] ruc (dot) edu (dot) cn [Contact me] | |
Office | Lide Building 1808, No. 59 Zhongguancun Street, Haidian District, Beijing, 100872, China |
Links | [Google Scholar] [DBLP] [Semantic Scholar] |
Publications
Conference and Journal Papers
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RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement
Jinhao Jiang, Jiayi Chen, Junyi Li, Ruiyang Ren, Shijie Wang, Wayne Xin Zhao, Yang Song and Tao Zhang
NAACL 2025 -
Self-Calibrated Listwise Reranking with Large Language Models
Ruiyang Ren*, Yuhao Wang*, Kun Zhou, Wayne Xin Zhao, Wenjie Wang, Jing Liu, Ji-Rong Wen and Tat-Seng Chua
WWW 2025 -
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation
Ruiyang Ren*, Yuhao Wang*, Yingqi Qu, Wayne Xin Zhao, Jing Liu, Hao Tian, Hua Wu, Ji-Rong Wen and Haifeng Wang
COLING 2025 -
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-domain Question Answering
Yuhao Wang*, Ruiyang Ren*, Junyi Li, Wayne Xin Zhao, Jing Liu and Ji-Rong Wen
EMNLP 2024 -
BASES: Large-scale Web Search User Simulation with Large Language Model based Agents
Ruiyang Ren, Peng Qiu, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Hua Wu, Ji-Rong Wen and Haifeng Wang
Findings of EMNLP 2024 -
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models
Junyi Li, Jie Chen, Ruiyang Ren, Xiaoxue Cheng, Wayne Xin Zhao, Jian-Yun Nie and Ji-Rong Wen
ACL 2024 -
Dense Text Retrieval based on Pretrained Language Models: A Survey
Wayne Xin Zhao, Jing Liu, Ruiyang Ren and Ji-Rong Wen
TOIS 2024 -
A Thorough Examination on Zero-shot Dense Retrieval
Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qifei Wu, Yuchen Ding, Hua Wu, Haifeng Wang and Ji-Rong Wen
Findings of EMNLP 2023 -
TOME: A Two-stage Approach for Model-based Retrieval
Ruiyang Ren, Wayne Xin Zhao, Jing Liu, Hua Wu, Ji-Rong Wen and Haifeng Wang
ACL 2023 -
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking
Ruiyang Ren*, Yingqi Qu*, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang and Ji-Rong Wen
EMNLP 2021 -
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval
Ruiyang Ren*, Shangwen Lv*, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang and Ji-Rong Wen
Findings of ACL 2021 -
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering
Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Wayne Xin Zhao, Daxiang Dong, Hua Wu and Haifeng Wang
NAACL 2021 -
Fine-Grained Privacy Detection with Graph-Regularized Hierarchical Attentive Representation Learning
Xiaolin Chen, Xuemeng Song, Ruiyang Ren, Lei Zhu, Zhiyong Cheng and Liqiang Nie
TOIS 2020 -
Sequential Recommendation with Self-Attentive Multi-Adversarial Network
Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding and Ji-Rong Wen
SIGIR 2020
Preprints
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Holistically Guided Monte Carlo Tree Search for Intricate Information Seeking
Ruiyang Ren*, Yuhao Wang*, Junyi Li*, Jinhao Jiang, Wayne Xin Zhao, Wenjie Wang, Tat-Seng Chua
arXiv 2025 -
A Survey of Large Language Models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, Yifan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, Jian-Yun Nie and Ji-Rong Wen
arXiv 2023
Experiences
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Visiting Student, NExT++ Research Centre, National University of Singapore, Jul 2024 – Now
Working with Prof. Tat-Seng Chua -
Research Intern, NLP Department, Baidu, May 2020 - Jul 2024
Worked with Dr. Jing Liu
Selected Awards
- 2023, Outstanding Innovative Talents Cultivation Funded Programs, Renmin University of China
- 2021, Academic Rising Star candidate, Renmin University of China
- 2020, National Scholarship for Graduate Students of China (Highest National Scholarship)
- 2020, SIGIR Student Travel Grant
- 2020,2021, Graduate Student First-class Academic Scholarship, Renmin University of China
- 2020,2021, Merit Student, Renmin University of China
- 2013, First Prize of National Olympiad in Informatics in Provinces (NOIP) in Hebei Province
Services
Area Chair
- ARR
Program Committee Member/Reviewer
- ACL, SIGIR, SIGKDD, WWW, TOIS, EMNLP, WSDM, CIKM, COLING, TMM, TCSVT, TALLIP
Conference Volunteer
- CIKM 2019
Teaching
- 2020,2021 Fall, Teaching Assistant, Statistical Product and Service Solutions Application (for undergraduate students in RUC)
- 2020,2021 Spring, Teaching Assistant, Information Technology Fundamentals (for undergraduate students in RUC)