Peiqin Lin
Peiqin Lin has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining; often with André F. T. Martins, Daling Wang, Hinrich Schuetze.
OpenAlex · ORCID · h-index 9 · 35 works · 204 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 57 times in our library · ⭐ Paper Stars ranking: #7550
Affiliations
🎓Ludwig-Maximilians-Universität MünchenMunich ·
Germany2022–2026 · 25 papers🎓Munich Center for Machine LearningMunich ·
Germany2022–2026 · 12 papers🏢Alibaba GroupHangzhou ·
China2026 · 2 papers🎓Sun Yat-sen UniversityGuangzhou ·
China2019–2021 · 6 papers
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work
Works by year
2020s
Papers
- MaLA-500: Massive Language Adaptation of Large Language Models (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. - Why Do More Experts Fail? A Theoretical Analysis of Model Merging (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
- André F. T. Martins
- Daling Wang
- Hinrich Schuetze
- Hinrich Schutze
- Jörg Tiedemann
- Shaoxiong Ji
- Shi Feng
- Xiaocui Yang
- Xingle Xu
- Yiqun Zhang
- YongKang Liu
- Zijing Wang
Venues
Cited by
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