Timothee Mickus
Timothee Mickus has 3 papers in our library, in 2022–2026, most of them on Language models & pretraining; often with Denis Paperno, Mathieu Constant, Aman Sinha.
OpenAlex · ORCID · h-index 6 · 82 works · 153 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 56 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6971
Affiliations
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work
💡 Concepts 1Key ideas and methods explained on our concept pages.Lexicography · 1 work
Works by year
2020s
Papers
- Semeval-2022 Task 1: CODWOE – Comparing Dictionaries and Word Embeddings (2022 · 59 citations)
The paper describes the CODWOE shared task at SemEval-2022. It tests whether word embeddings contain the same information as dictionary definitions. The task is divided into two tracks. In the Definition Modeling track, a definition must be generated from a word's vector. In the Reverse Dictionary track, the… - How to Dissect a Muppet: The Structure of Transformer Embedding Spaces (2022 · 31 citations)
Studies of pretrained Transformer embeddings usually either inspect attention weights or treat the whole network as an opaque box. - Language Models Learn Universal Representations of Numbers and Here's Why You Should Care (2026)
The paper asks how consistently large language models encode numbers. Earlier studies found sine-like number embeddings but did not measure how closely they match across models, and they did not use natural-language contexts. The authors examine eight open checkpoints from the OLMo 2, Llama 3 and Phi 4 families. They…
All works
- Semeval-2022 Task 1: CODWOE – Comparing Dictionaries and Word EmbeddingsInternational Workshop on Semantic Evaluation (SemEval)Timothee Mickus, Kees Van Deemter, Mathieu Constant, et al.2022 · 59 citations
- How to Dissect a Muppet: The Structure of Transformer Embedding SpacesTransactions of the Association for Computational Linguistics (TACL)Timothee Mickus, Denis Paperno, Mathieu Constant2022 · 31 citations
- Génération automatique de définitions pour le français (Definition Modeling in French) ↗Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 2 : Traitement Automatique des Langues Naturelles · no summary yetTimothee Mickus, Mathieu Constant, Denis Paperno2020 · 2 citations
- Language Models Learn Universal Representations of Numbers and Here's Why You Should CareAnnual Meeting of the Association for Computational Linguistics (ACL)Michal Štefánik, Timothee Mickus, Marek Kadlčík, et al.2026
Co-authors here
- Denis Paperno ×2
- Mathieu Constant ×2
- Aman Sinha
- Kees Van Deemter
- Philipp Mondorf
- Pontus Stenetorp
- Raúl Vázquez
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- International Workshop on Semantic Evaluation (SemEval): SemEval 2022
- Transactions of the Association for Computational Linguistics (TACL): Transactions of the Association for Computational Linguistics (TACL) 2022
- Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 2 : Traitement Automatique des Langues Naturelles
Cited by
Updated
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