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Institute for Logic, Language and Computation

Searchable List of Research Output

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  • Dutilh Novaes, C. (2011) Supposition Theory.
    In Lagerlund, H. (Eds.), Encyclopedia of Medieval Philosophy: philosophy between 500 and 1500 (pp 1229-1236). Springer.
    Entry for encyclopedia/dictionary | https://doi.org/10.1007/978-1-4020-9729-4_477 | UvA-DARE
  • Dutilh Novaes, C. (2011) Lessons on truth from mediaeval solutions to the Liar paradox.
    Philosophical Quarterly, Vol. 61 (pp 58-78)
  • Dütting, P., Fusco, Federico, Lazos, P., Leonardi, S., Reiffenhäuser, R. (2026) Efficient Two-Sided Markets with Limited Information.
    SIAM Journal on Computing, Vol. 55 (pp 65-92)
  • Dütting, P., Kesselheim, T., Lucier, B., Reiffenhäuser, R., Singla, S. (2024) Online Combinatorial Allocations and Auctions with Few Samples.
    In 2024 IEEE 65th Annual Symposium on Foundations of Computer Science : FOCS 2024: 27-30 October 2024, Chicago, United States : proceedings (pp 1231-1250). IEEE Computer Society Press.
  • Duval, E., Parra, G., Charleer, S., Jentzsch, A., van den Berg, H., Stoitsis, G., Galani, K., Marianos, N., Drakos, A., van Berchum, M., Stavrakaki, M. (2016) D3.2 Tools and services: A set of tools and services for researchers that exploit Europeana content.
    Europeana Cloud.
    Report | UvA-DARE
  • Duval, E., Parra, G., van Berchum, M., van den Berg, H., Jentzsch, A., Manouselis, N., Stoitsis, G., Tsekouras, A., Charleer, S., Stavrakaki, M. (2016) D3.1 Personas, scenarios and use cases.
    Europeana Cloud.
    Report | UvA-DARE
  • Dwivedi, M., Kamps, J. (2025) Effectiveness of In-Context Learning for Due Diligence: A Reproducibility Study of Identifying Passages for Due Diligence.
    Information Retrieval Research Journal, Vol. 1 (pp 221-245)
  • Dzamonja, M., Väänänen, J. (2011) Chain models, trees of singular cardinality and dynamic EF-games.
    Journal of Mathematical Logic, Vol. 11 (pp 61-85)
  • Đo, T.A., Bloem, J. (2026) How Well Do Large Language Models Reason in Under-Resourced Languages? Evidence from Vietnamese.
    In Proceedings of the 4th Annual Meeting of the Special Interest Group on Under-resourced Languages @ LREC 2026. European Language Resources Association.
    Conference contribution | UvA-DARE
  • Égré, P., Marty, P., Renne, B. (2014) Knowledge, Justification, and Reason-Based Belief.
    ArXiv.
  • Eikema, B., Aziz, W. (2019) Auto-Encoding Variational Neural Machine Translation.
    In Augenstein, I. Gella, S. Ruder, S. Kann, K. Welbl, J. Conneau, A. Ren, X. Rei, M. (Eds.), The 4th Workshop on Representation Learning for NLP (RepL4NLP-2019): ACL 2019 : proceedings of the workshop : August 2, 2019, Florence, Italy (pp 124–141). The Association for Computational Linguistics.
    Conference contribution | https://doi.org/10.18653/v1/W19-4315 | UvA-DARE
  • Eikema, B., Aziz, W. (2020) Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation.
    In Scott, D. Bel, N. Zong, C. (Eds.), The 28th International Conference on Computational Linguistics: COLING 2020 : Proceedings of the Conference : December 8-13, 2020, Barcelona, Spain (Online) (pp 4506–4520). International Committee on Computational Linguistics.
  • Eikema, B., Aziz, W. (2022) Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation.
    In Goldberg, Y. Kozareva, Z. Zhang, Y. (Eds.), Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: December 7-11, 2022, Abu Dhabi, United Arab Emirates (pp 10978-10993). Association for Computational Linguistics.
  • Eikema, B., Ilia, E., de Souza, J.G.C., Zerva, Chrysoula, Aziz, W. (2025) Teaching Language Models to Faithfully Express their Uncertainty.
  • Eikema, B., Kruszewski, G., Dance, C., Elsahar, H., Dymetman, M. (2022) An Approximate Sampler for Energy-based Models with Divergence Diagnostics.
    Transactions on Machine Learning Research, Vol. 2022
  • Eikema, B., Rutkiewicz, Anna, Giulianelli, Mario (2025) Structure-Conditional Minimum Bayes Risk Decoding.
    In Structure-Conditional Minimum Bayes Risk Decoding
    Conference contribution | UvA-DARE
  • Eikema, B., Vázquez, Raúl, Berant, Jonathan, de Marneffe, Marie-Catherine, Plank, B., Shelmanov, Artem, Swayamdipta, Swabha, Tiedemann, Jörg, Zerva, Chrysoula, Aziz, W. (2025) Proceedings of the 2nd Workshop on Uncertainty-Aware NLP (UncertaiNLP 2025).
    In Proceedings of the 2nd Workshop on Uncertainty-Aware NLP (UncertaiNLP 2025). Association for Computational Linguistics.
  • Eikema, B. (2024) The Effect of Generalisation on the Inadequacy of the Mode.
    Paper | UvA-DARE
  • Eikema, B. (2026) A sampling-based exploration of neural text generation models.
    IILC Dissertation Series
    Thesis, fully internal | UvA-DARE
  • el Haji, A., Munneke, G.J., van der Molen, M. (2015) Explaining the Moral Dissociation between Theft and Piracy.
    Paper | UvA-DARE
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