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Recent publications

  1. Quantifying Context Mixing in Transformers

    Mohebbi, H., Zuidema, W., Chrupała, G., & Alishahi, A. (2023). Quantifying Context Mixing in Transformers. In In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (pp. 3378-3400). Association for Computational Linguistics. https://aclanthology.org/2023.eacl-main.245/
  2. Learning English with Peppa Pig

    Nikolaus, M., Alishahi, A., & Chrupała, G. (2022). Learning English with Peppa Pig. Transactions of the Association for Computational Linguistics, 10, 922-936.
  3. ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language…

    Alishahi, A., Chrupała, G., Cristià, A., Dupoux, E., Higy, B., Lavechin, M., Räsänen, O., & Yu, C. (2021). ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 edition. CoRR, abs/2107.06546. https://arxiv.org/abs/2107.06546
  4. Discrete representations in neural models of spoken language

    Higy, B., Gelderloos, L., Alishahi, A., & Chrupała, G. (2021). Discrete representations in neural models of spoken language. In Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (pp. 163-176). Association for Computational Linguistics.
  5. Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interp…

    Alishahi, A., Belinkov, Y., Chrupała, G., Hupkes, D., Pinter, Y., & Sajjad, H. (Eds.) (2020). Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. Association for Computational Linguistics. https://aclanthology.org/2020.blackboxnlp-1.0

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