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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.

2 papers in our library · 2024–2026

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

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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

12 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 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 →.

Updated

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