--- title: "Ruiyang Ren — author profile and papers" description: "Ruiyang Ren, Renmin University of China: 3 papers on Elamur Research (2021–2024), h-index 10 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/ruiyang-ren/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ruiyang-ren/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ruiyang Ren # Ruiyang Ren 3 papers on this site · 2021–2024 current affiliation [Renmin University of China](https://ror.org/041pakw92), Beijing, China Ruiyang Ren has 3 papers on this site, in 2021–2024, most of them on [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Haifeng Wang](https://md.research.elamur.ai/free/en/authors/haifeng-wang/), [Hua Wu](https://md.research.elamur.ai/free/en/authors/hua-wu/), [Ji-Rong Wen](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/). [OpenAlex](https://openalex.org/A5074848230) · [ORCID](https://orcid.org/0000-0002-0562-9911) · [**h-index 10**](https://openalex.org/authors/A5074848230) · [25 works](https://openalex.org/works?filter=author.id:A5074848230) · [2 518 citations](https://openalex.org/works?filter=author.id:A5074848230&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [3 works on this site](https://md.research.elamur.ai/free/en/authors/ruiyang-ren/#papers) · [1 786 citations in our library](https://md.research.elamur.ai/free/en/authors/ruiyang-ren/cited-by/) · 3 more works in our library The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Ruiyang+Ren) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ruiyang+Ren) · [dblp](https://dblp.org/search?q=Ruiyang+Ren) · [ACL Anthology](https://aclanthology.org/search/?q=Ruiyang+Ren) ## Affiliations - [Renmin University of China](https://ror.org/041pakw92) · Beijing, China —current · 2020–2026 on 25 papers From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Topics [Information retrieval & search 2](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining 1](https://md.research.elamur.ai/free/en/topics/language-models/) · [Question answering 1](https://md.research.elamur.ai/free/en/topics/question-answering/) ## Papers The most cited first (OpenAlex and our library). 1. **[RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/qu-2021-rocketqa-optimized-training-approach-dense/)** *(2021 · 601 citations)* Dense retrievers built on a dual-encoder are hard to train well for open-domain QA. During training, each question is scored against only a handful of candidates, while at inference it is scored against millions. Many relevant passages are never labeled, so "hard negatives" are often false negatives. Labeled data is… 2. **[RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking](https://md.research.elamur.ai/free/en/papers/ren-2021-rocketqav2-joint-training-method-dense/)** *(2021 · 256 citations)* Retrieve-then-rerank pipelines pair a fast dual-encoder retriever with a stronger cross-encoder re-ranker. 3. **[The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-dawn-after-dark-empirical-study/)** *(2024 · 150 citations)* Large language models often produce plausible-sounding but factually wrong content, which limits their use in sensitive settings. ## Also in our library 3 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Haifeng Wang](https://md.research.elamur.ai/free/en/authors/haifeng-wang/) ×2 - [Hua Wu](https://md.research.elamur.ai/free/en/authors/hua-wu/) ×2 - [Ji-Rong Wen](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/) ×2 - [Jing Liu](https://md.research.elamur.ai/free/en/authors/jing-liu/) ×2 - [Wayne Xin Zhao](https://md.research.elamur.ai/free/en/authors/wayne-xin-zhao/) ×2 - [Yingqi Qu](https://md.research.elamur.ai/free/en/authors/yingqi-qu/) ×2 - [Daxiang Dong](https://md.research.elamur.ai/free/en/authors/daxiang-dong/) - [Jian-Yun Nie](https://md.research.elamur.ai/free/en/authors/jian-yun-nie/) - [Jie Chen](https://md.research.elamur.ai/free/en/authors/jie-chen/) - [Junyi Li](https://md.research.elamur.ai/free/en/authors/junyi-li/) - [Kai Liu](https://md.research.elamur.ai/free/en/authors/kai-liu/) - [QiaoQiao She](https://md.research.elamur.ai/free/en/authors/qiaoqiao-she/) ## Cited by Papers of our library cite their works 1 786 times (of the 140 884 papers whose bibliographies we read); [108 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ruiyang-ren/cited-by/).