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Selected publications of Théo Desbordes
Theses
  1. Théo Desbordes. A search for the neural bases of compositionality. PhD Thesis, Sorbonne, 2022.


Articles in journals
  1. Théo Desbordes, Jean-Rémi King, and Stanislas Dehaene. Tracking the neural codes for words and phrases during semantic composition, working-memory storage, and retrieval. Cell Reports, 43(3), 2024. [WWW]


  2. Théo Desbordes, Yair Lakretz, Valérie Chanoine, Maxime Oquab, Jean-Michel Badier, Agnès Trébuchon, Romain Carron, Christian-G Bénar, Stanislas Dehaene, and Jean-Rémi King. Dimensionality and ramping: Signatures of sentence integration in the dynamics of brains and deep language models. Journal of Neuroscience, 2023. [WWW]


  3. Zachary W Davis, Gabriel B Benigno, Charlee Fletterman, Theo Desbordes, Christopher Steward, Terrence J Sejnowski, John H Reynolds, and Lyle Muller. Spontaneous traveling waves naturally emerge from horizontal fiber time delays and travel through locally asynchronous-irregular states. Nature Communications, 12(1):1--16, 2021. [WWW]


  4. Yair Lakretz, Theo Desbordes, Dieuwke Hupkes, and Stanislas Dehaene. Causal transformers perform below chance on recursive nested constructions, unlike humans. arXiv preprint arXiv:2110.07240, 2021.


  5. Yair Lakretz, Théo Desbordes, Jean-Rémi King, Benoît Crabbé, Maxime Oquab, and Stanislas Dehaene. Can RNNs learn Recursive Nested Subject-Verb Agreements?. arXiv preprint arXiv:2101.02258, 2021. [WWW] [PDF]


  6. Yair Lakretz, German Kruszewski, Theo Desbordes, Dieuwke Hupkes, Stanislas Dehaene, and Marco Baroni. The emergence of number and syntax units in LSTM language models. arXiv preprint arXiv:1903.07435, 2019. [PDF]


Conference proceedings
  1. Yair Lakretz, Théo Desbordes, Dieuwke Hupkes, and Stanislas Dehaene. Can Transformers Process Recursive Nested Constructions, Like Humans?. In Proceedings of the 29th International Conference on Computational Linguistics, pages 3226--3232, 2022. [WWW]


  2. Yair Lakretz, German Kruszewski, Theo Desbordes, Dieuwke Hupkes, Stanislas Dehaene, and Marco Baroni. The emergence of number and syntax units in LSTM language models. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), Minneapolis, Minnesota, pages 11--20, June 2019. Association for Computational Linguistics. [WWW] [PDF] [Abstract]



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