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Kenneth Christian Enevoldsen

Kenneth Christian Enevoldsen has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Evaluation & benchmarks; often with Afra Alishahi, Bruno Nicenboim, David Stap.

2 papers in our library · 2025–2026

OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 85 times in our library · ⭐ Paper Stars ranking: #5078

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

🎓Aarhus UniversityAarhus · Denmark2026 · 3 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 1 workLanguage and Linguistics · 2 worksArtificial Intelligence · 1 workComputer Vision and Pattern Recognition · 1 workCognitive Neuroscience · 1 workDevelopmental and Educational Psychology · 1 workNeuroscience · 1 workPsychology · 1 work

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

 Works by year

2020s

20261 paperModeling semantic association in self-paced reading with language model embeddings20251 paperMMTEB: Massive Multilingual Text Embedding Benchmark

 Papers

The most cited first (OpenAlex and our library).

  1. MMTEB: Massive Multilingual Text Embedding Benchmark (2025 · 101 citations)
    Embedding models are usually tested on narrow benchmarks that cover few languages, domains and task types, and full evaluation is often too costly for communities with little compute.
  2. Modeling semantic association in self-paced reading with language model embeddings (2026)
    How strongly a word relates in meaning to its context seems to affect reading even after accounting for how predictable the word is.

 Co-authors here

7 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 85 times (of the 141,840 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

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