--- title: "Xinyi Dai — author profile and papers · Evaluation & benchmarks" description: "Xinyi Dai, Tencent: 2 papers on Elamur Research (2025), h-index 22 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/xinyi-dai/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xinyi-dai/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xinyi Dai # Xinyi Dai Xinyi Dai has 2 papers in our library, in 2025, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Ruiming Tang](https://md.research.elamur.ai/free/en/authors/ruiming-tang/), [Wei Xia](https://md.research.elamur.ai/free/en/authors/wei-xia/), [Yasheng Wang](https://md.research.elamur.ai/free/en/authors/yasheng-wang/). 2 papers in our library · 2025 [OpenAlex](https://openalex.org/A5012370987) · [ORCID](https://orcid.org/0000-0002-3351-5401) · [Wikidata](https://www.wikidata.org/wiki/Q130825023) · [**h-index 22**](https://openalex.org/authors/A5012370987) · [82 works](https://openalex.org/works?filter=author.id:A5012370987) · [1,757 citations](https://openalex.org/works?filter=author.id:A5012370987&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xinyi-dai/#papers) · [🔗 Cited 43 times in our library](https://md.research.elamur.ai/free/en/authors/xinyi-dai/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7960](https://md.research.elamur.ai/free/en/paper-stars/page/80/#star-7960) 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=Xinyi+Dai) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xinyi+Dai) · [dblp](https://dblp.org/search?q=Xinyi+Dai) · [ACL Anthology](https://aclanthology.org/search/?q=Xinyi+Dai) ## Affiliations [🏢**Tencent** Shenzhen · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/tencent/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2012–2025 · 34 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🏢**Huawei Technologies** Shenzhen · China 2024–2025 · 14 papers](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · [🏥**Shanghai Ninth People's Hospital** Shanghai · China 2020–2025 · 10 papers](https://ror.org/010826a91) · [🎓**Huazhong University of Science and Technology** Wuhan · China 2014–2025 · 6 papers](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) · [🏥**Tongji Hospital** Wuhan · China 2023–2025 · 5 papers](https://ror.org/04xy45965) · [🎓**Technical University of Munich** Munich · Germany 2014–2016 · 5 papers](https://md.research.elamur.ai/free/en/universities/technical-university-of-munich/) · [🏥**Shanghai First People's Hospital** Shanghai · China 2012–2018 · 4 papers](https://ror.org/04a46mh28) · [🏥**TUM Klinikum** Munich · Germany 2014–2016 · 4 papers](https://md.research.elamur.ai/free/en/hospitals/tum-klinikum/) · [🎓**Wuhan University** Wuhan · China 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/wuhan-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) 🧭 Topics 2 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/xinyi-dai/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[CoIR: A Comprehensive Benchmark for Code Information Retrieval Models](https://md.research.elamur.ai/free/en/papers/li-2025-coir-comprehensive-benchmark-code-information/)** *(2025 · 29 citations)* Most IR systems and benchmarks target natural-language search. Existing code retrieval benchmarks such as CodeSearchNet, CosQA and XcodeEval cover only a few task types and narrow domains, and they use inconsistent metrics. Many models also appear to be tuned to these leaderboards. The authors present CoIR, a… 2. **[RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation](https://md.research.elamur.ai/free/en/papers/li-2025-rethinkmcts-refining-erroneous-thoughts-monte/)** *(2025 · 16 citations)* The paper tackles a weakness of tree-search approaches to LLM code generation. Existing methods such as LATS search directly over code and handle mistakes through reflection, which piles up summaries of past errors in memory but never repairs the flawed reasoning itself. The authors propose RethinkMCTS, which runs… ## All works 3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[CoIR: A Comprehensive Benchmark for Code Information Retrieval Models](https://md.research.elamur.ai/free/en/papers/li-2025-coir-comprehensive-benchmark-code-information/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiangyang Li, Kuicai Dong, Yi Quan Lee, et al.*2025 · 29 citations* 2. **[RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation](https://md.research.elamur.ai/free/en/papers/li-2025-rethinkmcts-refining-erroneous-thoughts-monte/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Qingyao Li, Wei Xia, Xinyi Dai, et al.*2025 · 16 citations* 3. **[CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation ↗](https://aclanthology.org/2025.findings-acl.428/) Findings of the Association for Computational Linguistics: ACL 2025 · no summary yet**Qingyao Li et al.*2025 · 15 citations* ## Co-authors here 10 co-authors with a page, the most papers together first. - [Ruiming Tang](https://md.research.elamur.ai/free/en/authors/ruiming-tang/) ×2 - [Wei Xia](https://md.research.elamur.ai/free/en/authors/wei-xia/) ×2 - [Yasheng Wang](https://md.research.elamur.ai/free/en/authors/yasheng-wang/) ×2 - [Hao Zhang](https://md.research.elamur.ai/free/en/authors/hao-zhang/) - [Kounianhua Du](https://md.research.elamur.ai/free/en/authors/kounianhua-du/) - [Kuicai Dong](https://md.research.elamur.ai/free/en/authors/kuicai-dong/) - [Weinan Zhang](https://md.research.elamur.ai/free/en/authors/weinan-zhang/) - [Weiwen Liu](https://md.research.elamur.ai/free/en/authors/weiwen-liu/) - [Xiangyang Li](https://md.research.elamur.ai/free/en/authors/xiangyang-li/) - [Yong Yu](https://md.research.elamur.ai/free/en/authors/yong-yu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) - Findings of the Association for Computational Linguistics: ACL 2025 ## Cited by Papers of our library cite their works 43 times (of the 149,439 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xinyi-dai/cited-by/). Updated 31 October 2026