--- title: "Wei Xia · Fudan University — author profile and papers" description: "Wei Xia, Fudan University: 4 papers on Elamur Research (2025–2026), h-index 10 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/wei-xia/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/wei-xia/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Wei Xia # Wei Xia Wei Xia has 4 papers in our library, in 2025–2026, most of them on [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Ruiming Tang](https://md.research.elamur.ai/free/en/authors/ruiming-tang/), [Xinyi Dai](https://md.research.elamur.ai/free/en/authors/xinyi-dai/), [Yasheng Wang](https://md.research.elamur.ai/free/en/authors/yasheng-wang/). 4 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5100654154) · [ORCID](https://orcid.org/0000-0003-3157-6988) · [**h-index 10**](https://openalex.org/authors/A5100654154) · [52 works](https://openalex.org/works?filter=author.id:A5100654154) · [383 citations](https://openalex.org/works?filter=author.id:A5100654154&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/wei-xia/#papers) · [🔗 Cited 34 times in our library](https://md.research.elamur.ai/free/en/authors/wei-xia/cited-by/) · [⭐ Paper Stars ranking: #7883](https://md.research.elamur.ai/free/en/paper-stars/page/79/#star-7883) 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=Wei+Xia) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Wei+Xia) · [dblp](https://dblp.org/search?q=Wei+Xia) · [ACL Anthology](https://aclanthology.org/search/?q=Wei+Xia) ## Affiliations [🎓**Fudan University** Shanghai · China 2021–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🏢**Huawei Technologies** Shenzhen · China 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · [🏢**Google** Mountain View · United States 2021–2024 · 3 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Harbin Medical University** Harbin · China 2023–2024 · 3 papers](https://ror.org/05jscf583) · [🎓**Tianjin University of Technology and Education** Tianjin · China 2024 · 2 papers](https://ror.org/035gwtk09) · [🏥**West China Hospital of Sichuan University** Chengdu · China 2021–2023 · 2 papers](https://ror.org/007mrxy13) · [🎓**Xidian University** Xi'an · China 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/xidian-university/) · [🏢**Amazon** Seattle · United States 2022 · 2 papers](https://md.research.elamur.ai/free/en/companies/amazon/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 18 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 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 4 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 · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Education · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/education/) 🧭 Topics 4 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 · 2 works](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Grammatical error correction & learner language · 1 work](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/wei-xia/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/wei-xia/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… 3. **[GAPO: Robust Advantage Estimation for Real-World Code LLMs](https://md.research.elamur.ai/free/en/papers/zhang-2026-gapo-robust-advantage-estimation-real/)** *(2026 · 1 citation)* Group-relative RL methods such as GRPO and DAPO are popular for post-training code LLMs because they need no critic. 4. **[PsyScore: A Psychometrically-Aware Framework for Trait-Adaptive Essay Scoring and ZPD-Scaffolded Feedback](https://md.research.elamur.ai/free/en/papers/xia-2026-psyscore-psychometrically-aware-framework-trait/)** *(2026 · 1 citation)* Automated essay scoring systems usually separate grading from feedback. Neural scorers are hard to interpret, and LLM-generated comments ignore how skilled the writer is. PsyScore connects the two through one latent ability estimate θ drawn from Item Response Theory. A BERT encoder for each trait maps an essay to θ… ## Co-authors here 12 of 17 co-authors with a page, the most papers together first. - [Ruiming Tang](https://md.research.elamur.ai/free/en/authors/ruiming-tang/) ×2 - [Xinyi Dai](https://md.research.elamur.ai/free/en/authors/xinyi-dai/) ×2 - [Yasheng Wang](https://md.research.elamur.ai/free/en/authors/yasheng-wang/) ×2 - [Chanjin Zheng](https://md.research.elamur.ai/free/en/authors/chanjin-zheng/) - [Hande Dong](https://md.research.elamur.ai/free/en/authors/hande-dong/) - [Hao Zhang](https://md.research.elamur.ai/free/en/authors/hao-zhang/) - [Hong Wang](https://md.research.elamur.ai/free/en/authors/hong-wang/) - [Jianqing Zhang](https://md.research.elamur.ai/free/en/authors/jianqing-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/) - [Qiang Lin](https://md.research.elamur.ai/free/en/authors/qiang-lin/) - [Weinan Zhang](https://md.research.elamur.ai/free/en/authors/weinan-zhang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 - [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/) ## Cited by Papers of our library cite their works 34 times (of the 149,439 papers whose bibliographies we read); [6 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/wei-xia/cited-by/). Updated 1 November 2026