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Results: 102
Number of items: 102
  • Open Access
    Jumelet, J. (2024). Finding structure in language models. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Cornelissen, B. J. M. (2024). Measuring musics: Notes on modes, motifs, and melodies. [Thesis, fully internal, Universiteit van Amsterdam].
  • van Dis, E. A. M., Bollen, J., van Rooij, R., Zuidema, W., & Bockting, C. L. (2023). ChatGPT: Five priorities for research. Nature, 614(7947), 223-226. https://doi.org/10.1038/d41586-023-00288-7
  • Bockting, C. L., van Dis, E. A. M., van Rooij, R., Zuidema, W., & Bollen, J. (2023). Living guidelines for generative AI - why scientists must oversee its use. Nature, 622(7984), 693-696. https://doi.org/10.1038/d41586-023-03266-1
  • Open Access
    Mohebbi, H., Chrupała, G., Zuidema, W., & Alishahi, A. (2023). Homophone Disambiguation Reveals Patterns of Context Mixing in Speech Transformers. In H. Bouamar, J. Pino, & K. Bali (Eds.), The 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 : Proceedings of the Conference : December 6-10, 2023 (pp. 8249-8260). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.emnlp-main.513
  • Open Access
    Jumelet, J., & Zuidema, W. (2023). Transparency at the Source: Evaluating and Interpreting Language Models With Access to the True Distribution. In H. Bouamor, J. Pino, & K. Bali (Eds.), The 2023 Conference on Empirical Methods in Natural Language Processing : Findings of the Association for Computational Linguistics: EMNLP 2023: December 6-10, 2023 (pp. 4354–4369). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-emnlp.288
  • Open Access
    Chintam, A., Beloch, R., Zuidema, W., Hanna, M., & van der Wal, O. (2023). Identifying and Adapting Transformer-Components Responsible for Gender Bias in an English Language Model. In Y. Belinkov, S. Hao, J. Jumelet, N. Kim, A. McCarthy, & H. Mohebbi (Eds.), BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP: Proceedings of the Sixth Workshop : EMNLP 2023 : December 7, 2023 (pp. 379-394). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.blackboxnlp-1.29
  • Open Access
    Giulianelli, M. (2023). Neural models of language use: Studies of language comprehension and production in context. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Jumelet, J., & Zuidema, W. (2023). Feature Interactions Reveal Linguistic Structure in Language Models. In A. Rogers, J. Boyd-Graber, & N. Okazaki (Eds.), Findings of the Association for Computational Linguistics: ACL 2023: July 9-14, 2023 (pp. 8697–8712). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-acl.554
  • Open Access
    Abnar, S. (2023). Inductive biases for learning natural language. [Thesis, fully internal, Universiteitsbibliotheek].
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