Elamur Research⌕
☰
home / authors / Siwen Guo

Siwen Guo

Siwen Guo has 4 papers in our library, in 2025–2026, most of them on Multilingual & cross-lingual NLP, Language models & pretraining, Low-resource languages; often with Fred Philippy, Jacques Klein, Tegawende Bissyande.

4 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 3 · 23 works · 69 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 11 times in our library · ⭐ Paper Stars ranking: #9738

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

🔬Luxembourg Institute of Science and TechnologyBelvaux · Luxembourg2026 · 6 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2026 · 2 paperscurrent🎓Ocean University of ChinaQingdao · China2026 · 2 paperscurrent🔬Qingdao Institute of Bioenergy and Bioprocess TechnologyQingdao · China2026 · 2 paperscurrent🎓Peoples' Friendship University of RussiaMoscow · Russia2019–2020 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 4 worksArts and Humanities · 4 worksComputer Science · 4 worksLanguage and Linguistics · 4 works

🧭 Topics 4Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 4 worksLanguage models & pretraining · 2 worksEnglish · 1 workLow-resource languages · 1 work

 Works by year

2020s

20262 papers20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. LuxEmbedder: A Cross-Lingual Approach to Enhanced Luxembourgish Sentence Embeddings (2025 · 8 citations)
    The paper addresses weak sentence embeddings for Luxembourgish, a West-Germanic language with roughly 400,000 speakers.
  2. LuxInstruct: A Cross-Lingual Instruction Tuning Dataset For Luxembourgish (2025 · 3 citations)
    Luxembourgish has about 400,000 speakers and very few resources for instruction tuning. Translating English instruction sets into it is a weak option, because machine translation into the language is poor and tends to produce unnatural or culturally off targets.
  3. When English Isn't the Best Teacher: Source Language Effects in Cross-Lingual In-Context Learning (2026)
    The paper asks whether the rules for choosing a source language in fine-tuning-based cross-lingual transfer also apply to few-shot In-Context Learning (ICL).
  4. Why Low-Resource NLP Needs More Than Cross-Lingual Transfer: Lessons Learned from Luxembourgish (2026)
    This position-style paper asks whether cross-lingual transfer from high-resource languages can replace dedicated work on a low-resource language.

 Co-authors here

4 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 11 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/siwen-guo/