--- title: "Peiqin Lin — author profile and papers — Elamur Research" description: "Peiqin Lin, Munich Center for Machine Learning: 2 papers on Elamur Research (2024–2026), h-index 9 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/peiqin-lin/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/peiqin-lin/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Peiqin Lin # Peiqin Lin Peiqin Lin has 2 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [André F. T. Martins](https://md.research.elamur.ai/free/en/authors/andre-f-t-martins/), [Daling Wang](https://md.research.elamur.ai/free/en/authors/daling-wang/), [Hinrich Schuetze](https://md.research.elamur.ai/free/en/authors/hinrich-schuetze/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5014957657) · [ORCID](https://orcid.org/0000-0003-2818-3008) · [**h-index 9**](https://openalex.org/authors/A5014957657) · [35 works](https://openalex.org/works?filter=author.id:A5014957657) · [204 citations](https://openalex.org/works?filter=author.id:A5014957657&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/peiqin-lin/#papers) · [🔗 Cited 57 times in our library](https://md.research.elamur.ai/free/en/authors/peiqin-lin/cited-by/) · [⭐ Paper Stars ranking: #7550](https://md.research.elamur.ai/free/en/paper-stars/page/76/#star-7550) 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=Peiqin+Lin) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Peiqin+Lin) · [dblp](https://dblp.org/search?q=Peiqin+Lin) · [ACL Anthology](https://aclanthology.org/search/?q=Peiqin+Lin) ## Affiliations [🎓**Ludwig-Maximilians-Universität München** Munich · Germany 2022–2026 · 25 papers*current*](https://md.research.elamur.ai/free/en/universities/ludwig-maximilians-universitat-munchen/) · [🎓**Munich Center for Machine Learning** Munich · Germany 2022–2026 · 12 papers*current*](https://md.research.elamur.ai/free/en/universities/munich-center-for-machine-learning/) · [🏢**Alibaba Group** Hangzhou · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**Sun Yat-sen University** Guangzhou · China 2019–2021 · 6 papers](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/peiqin-lin/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/peiqin-lin/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[MaLA-500: Massive Language Adaptation of Large Language Models](https://md.research.elamur.ai/free/en/papers/lin-2024-mala-500-massive-language-adaptation/)** *(2024 · 58 citations)* Most large language models are trained mainly on English or a few dozen languages, so they perform poorly on low-resource languages. 2. **[Why Do More Experts Fail? A Theoretical Analysis of Model Merging](https://md.research.elamur.ai/free/en/papers/wang-2026-why-do-more-experts-fail/)** *(2026 · 2 citations)* Merging several fine-tuned expert models into one multi-task model saves storage and compute. However, adding more experts stops helping quickly: state-of-the-art methods such as GENOME level off at around six merged models on most datasets. This paper asks why that ceiling exists. Using high-dimensional geometry… ## Co-authors here 12 co-authors with a page, the most papers together first. - [André F. T. Martins](https://md.research.elamur.ai/free/en/authors/andre-f-t-martins/) - [Daling Wang](https://md.research.elamur.ai/free/en/authors/daling-wang/) - [Hinrich Schuetze](https://md.research.elamur.ai/free/en/authors/hinrich-schuetze/) - [Hinrich Schutze](https://md.research.elamur.ai/free/en/authors/hinrich-schutze/) - [Jörg Tiedemann](https://md.research.elamur.ai/free/en/authors/jorg-tiedemann/) - [Shaoxiong Ji](https://md.research.elamur.ai/free/en/authors/shaoxiong-ji/) - [Shi Feng](https://md.research.elamur.ai/free/en/authors/shi-feng/) - [Xiaocui Yang](https://md.research.elamur.ai/free/en/authors/xiaocui-yang/) - [Xingle Xu](https://md.research.elamur.ai/free/en/authors/xingle-xu/) - [Yiqun Zhang](https://md.research.elamur.ai/free/en/authors/yiqun-zhang/) - [YongKang Liu](https://md.research.elamur.ai/free/en/authors/yongkang-liu/) - [Zijing Wang](https://md.research.elamur.ai/free/en/authors/zijing-wang/) ## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ## Cited by Papers of our library cite their works 57 times (of the 149,439 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/peiqin-lin/cited-by/). Updated 31 October 2026