Elamur Research⌕
☰
home / authors / Chris Wendler

Chris Wendler

Chris Wendler has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, English; often with Robert West, Veniamin Veselovsky, Giovanni Monea.

3 papers in our library · 2024–2026

OpenAlex · h-index 5 · 14 works · 101 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 208 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5589

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

🎓École Polytechnique Fédérale de LausanneLausanne · Switzerland2024–2025 · 8 paperscurrent🎓ETH ZurichZurich · Switzerland2019–2024 · 13 papers🎓Northeastern UniversityBoston · United States2025–2026 · 8 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.English · 1 workMultilingual & cross-lingual NLP · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Do Llamas Work in English? On the Latent Language of Multilingual Transformers (2024 · 177 citations)
    The paper asks whether multilingual LLMs trained mostly on English text silently route non-English processing through English.
  2. Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers (2025 · 27 citations)
    The paper asks whether multilingual LLMs hold concepts in a shared, language-independent form or keep a separate version of each concept per language.
  3. Localized Cultural Knowledge is Conserved and Controllable in Large Language Models (2026 · 7 citations)
    Large language models (LLMs) often answer non-English prompts as if the user lived in an English-speaking, largely American setting, even when they hold the relevant local knowledge.

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Do Llamas Work in English? On the Latent Language of Multilingual TransformersAnnual Meeting of the Association for Computational Linguistics (ACL)Chris Wendler, Veniamin Veselovsky, Giovanni Monea, et al.2024 · 177 citations
  2. Do Llamas Work in English? On the Latent Language of Multilingual Transformers ↗arXiv:2402.10588 · no summary yetChris Wendler et al.2024 · 96 citations
  3. Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in TransformersAnnual Meeting of the Association for Computational Linguistics (ACL)Clément Dumas, Chris Wendler, Veniamin Veselovsky, et al.2025 · 27 citations
  4. Localized Cultural Knowledge is Conserved and Controllable in Large Language ModelsFindings of the Association for Computational LinguisticsVeniamin Veselovsky, Berke Argın, Benedikt Stroebl, et al.2026 · 7 citations

 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 208 times (of the 149,439 papers whose bibliographies we read); 36 citing papers with a page here →.

Updated

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