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Results: 24
Number of items: 24
  • Open Access
    Weber, L., Jumelet, J., Bruni, E., & Hupkes, D. (2024). Interpretability of Language Models via Task Spaces. In L.-W. Ku, A. Martins, & V. Srikumar (Eds.), The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) : proceedings of the conference: ACL 2024 : August 11-16, 2024 (Vol. 1, pp. 4522-4538). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.acl-long.248
  • Open Access
    Dankers, V., Titov, I., & Hupkes, D. (2023). Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation. In H. Bouamor, 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. 8323-8343). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.emnlp-main.518
  • Open Access
    Hupkes, D., Giulianelli, M., Dankers, V., Artetxe, M., Elazar, Y., Pimentel, T., Christodoulopoulos, C., Lasri, K., Saphra, N., Sinclair, A., Ulmer, D., Schottmann, F., Batsuren, K., Sun, K., Sinha, K., Khalatbari, L., Ryskina, M., Frieske, R., Cotterell, R., & Jin, Z. (2023). A taxonomy and review of generalization research in NLP. Nature Machine Intelligence, 5(10), 1161-1174. https://doi.org/10.48550/arXiv.2210.03050, https://doi.org/10.1038/S42256-023-00729-Y
  • Open Access
    De Cao, N., Schmid, L., Hupkes, D., & Titov, I. (2022). Sparse Interventions in Language Models with Differentiable Masking. In J. Bastings, Y. Belinkov, Y. Elazar, D. Hupkes, N. Saphra, & S. Wiegreffe (Eds.), BlackboxNLP Analyzing and Interpreting Neural Networks for NLP: BlackboxNLP 2022 : Proceedings of the Workshop : December 8, 2022 (pp. 16-27). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.blackboxnlp-1.2
  • Open Access
    Hupkes, D., Giulianelli, M., Dankers, V., Artetxe, M., Elazar, Y., Pimentel, T., Christodoulopoulos, C., Lasri, K., Saphra, N., Sinclair, A., Ulmer, D., Schottmann, F., Batsuren, K., Sun, K., Sinha, K., Khalatbari, L., Ryskina, M., Frieske, R., Cotterell, R., & Jin, Z. (2022). State-of-the-art generalisation research in NLP: A taxonomy and review. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2210.03050
  • Open Access
    Jumelet, J., Denić, M., Szymanik, J., Hupkes, D., & Steinert-Threlkeld, S. (2021). Language models use monotonicity to assess NPI licensing. In C. Zong, F. Xia, W. Li, & R. Navigli (Eds.), Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021: Findings of ACL: ACL-IJCNLP 2021 : August 1-6, 2021 (pp. 4958–4969). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.findings-acl.439
  • Open Access
    Weber, L., Jumelet, J., Bruni, E., & Hupkes, D. (2021). Language Modelling as a Multi-Task Problem. In P. Merlo, J. Tiedemann, & R. Tsarfaty (Eds.), The 16th Conference of the European Chapter of the Association for Computational Linguistics: EACL 2021 : proceedings of the conference : April 19-23, 2021 (pp. 2049–2060). Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.eacl-main.176
  • Open Access
    Kersten, T., Wong, H. M., Jumelet, J., & Hupkes, D. (2021). Attention vs non-attention for a Shapley-based explanation method. In E. Agirre, M. Apidianaki, & I. Vulić (Eds.), Deep Learning Inside Out (DeeLIO): The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures: proceedings of the workshop : NAACL-HLT 2021 : June 10 2021 (pp. 129-139). The Association for Computational Linguistics. https://doi.org/10.48550/arXiv.2104.12424, https://doi.org/10.18653/v1/2021.deelio-1.13
  • Open Access
    Hupkes, D. (2020). Hierarchy and interpretability in neural models of language processing. [Thesis, fully internal, Universiteit van Amsterdam]. Institute for Logic, Language and Computation.
  • Open Access
    Korrel, K., Hupkes, D., Dankers, V., & Bruni, E. (2019). Transcoding compositionally: using attention to find more generalizable solutions. In T. Linzen, G. Chrupała, Y. Belinkov, & D. Hupkes (Eds.), The BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP at ACL 2019: ACL 2019 : proceedings of the Second Workshop : August 1, 2019, Florence, Italy (pp. 1-11). The Association for Computational Linguistics. https://doi.org/10.18653/v1/W19-4801
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