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Neplenbroek, V.E., Bisazza, Arianna, Fernández, R. (2025) Reading Between the Prompts: How Stereotypes Shape LLM’s Implicit Personalization.In Christodoulopoulos, C. Chakraborty, T. Rose, C. Peng, V. (Eds.), The 2025 Conference on Empirical Methods in Natural Language Processing : Proceedings of the Conference: EMNLP 2025 : November 4-9, 2025 (pp 20367-20400). Association for Computational Linguistics.Conference contribution | https://doi.org/10.18653/v1/2025.emnlp-main.1029 | UvA-DARENeplenbroek, V.E., Bisazza, Arianna, Fernández, R. (2025) Cross-Lingual Transfer of Debiasing and Detoxification in Multilingual LLMs: An Extensive Investigation.In Che, W. Nabende, J. Shutova, E. Pilehvar, M.T. (Eds.), The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) : Findings of the Association for Computational Linguistics: ACL 2025: ACL 2025 : July 27-August 1, 2025 (pp 2805-2830). Association for Computational Linguistics.Conference contribution | https://doi.org/10.18653/v1/2025.findings-acl.145 | UvA-DARENepomuceno-Fernández, A., Soler-Toscano, F., Velázquez-Quesada, F.R. (2017) Abductive Reasoning in Dynamic Epistemic Logic.In Magnani, L. Bertolotti, T. (Eds.), Springer Handbook of Model-Based Science (pp 269-293) (Springer Handbooks). Springer.Chapter | https://doi.org/978-3-319-30526-4_13 | UvA-DARENeumann, N.P.M., de Heer, P.B.U.L., Phillipson , F. (2023) Quantum reinforcement learning: Comparing quantum annealing and gate-based quantum computing with classical deep reinforcement learning.Quantum Information Processing, Vol. 22Article | https://doi.org/10.1007/s11128-023-03867-9 | UvA-DARENeumann, N.P.M. (2025) Adaptive quantum computers: Decoding and state preparation.IILC Dissertation SeriesThesis, fully internal | UvA-DARENewman, I., Buhrman, H., Fortnow, L., Röhrig, H. (2001) Quantum property testing.Technical Report. Instituut voor Taal en Communicatie.Report | UvA-DARENguyen, Linh, Boersma, Marcel, Acar, E. (2026) Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations.In Guidotti, R. Schmid, U. Longo, L. (Eds.), Explainable Artificial Intelligence: Third World Conference, xAI 2025, Istanbul, Turkey, July 9–11, 2025 : proceedings (pp 330–353) (Communications in Computer and Information Science, Vol. 2579). Springer.Conference contribution | https://doi.org/10.1007/978-3-032-08330-2_16 | UvA-DARENicenboim, Bruno, van Vugt, Marieke, Alhama, Raquel G, Anderson, Britt, Bontje, Floor, Chimento, Michael, Columbus, Simon, Dalmaijer, Edwin, Dotlačil10, Jakub, Østergaard, Sara Møller, Thestrup Waade, Peter, van Maanen, Leendert, K. Ward, Emma, Winkowski, Jan, Fusaroli, Riccardo (2026) It takes a village to model complex behaviour: A community-based approach.Computational Brain & BehaviorArticle | UvA-DARENiekus, J. (2002) Individual choice sequences in the work of L.E.J. Brouwer.Technical Report. Institute for Logic, Language and Computation.Working paper | UvA-DARENiekus, J. (2005) Brouwer's Incomplete Objects.Technical Reports. Institute for Logic, Language and Computation.Working paper | UvA-DARENiekus, J. (2005) Individual Choice Sequences in the Work of L.E.J. Brouwer.Philosophia Scientia, Vol. 5 (pp 217-232)Article | UvA-DARENiekus, J. (2010) Brouwer's incomplete objects.History and Philosophy of Logic, Vol. 31 (pp 31-46)Article | https://doi.org/10.1080/01445340903445071 | UvA-DARENienhuys-Cheng, S.H., de Wolf, R. (1997) Foundations of inductive logic programming.In Lecture Notes in Artificial Intelligence, volume 1228. Springer-Verlag.Chapter | UvA-DARENing, Z.-Y., Honing, H., ten Cate, C. (2022) Zebra finches (Taeniopygia guttata) demonstrate cognitive flexibility in using phonology and sequence of syllables in auditory discrimination.Research Square.Preprint | https://doi.org/10.21203/rs.3.rs-2247248/v1 | UvA-DARENing, Z.-Y., Honing, H., ten Cate, C. (2023) Zebra finches (Taeniopygia guttata) demonstrate cognitive flexibility in using phonology and sequence of syllables in auditory discrimination.Animal cognition, Vol. 26 (pp 1161–1175)Article | https://doi.org/10.1007/s10071-023-01763-4 | UvA-DARENing, Z.-Y., Honing, H., van Mil, H., ten Cate, C. (2024) The role of spectral features and song duration in zebra finch, Taeniopygia guttata, song recognition.Animal behaviour, Vol. 212 (pp 73-91)Ning, Z.-Y., Li, Jiaxin, ten Cate, C., Honing, H. (2026) Following the Tune: Divergent Processing Strategies for Auditory Sequence Recognition in Humans and a Songbird.PsyArXiv.Preprint | https://doi.org/10.31234/osf.io/empu7_v1 | UvA-DARENing, Z.-Y., ten Cate, C., Patel, Aniruddh D., Honing, H. (2026) Rhythm abstraction in bumble bees remains inconclusive.PsyArXiv.Preprint | https://doi.org/10.31234/osf.io/M7rph_v3 | UvA-DARENixon, J.S., Boll-Avetisyan, N., Lentz, T.O., van Ommen, S., Keij, B., Çöltekin, Ç., Liu, L., van Rij, J. (2018) Short-term exposure enhances perception of both between- and within-category acoustic information.In Klessa, K. Bachan, J. Wagner, A. Karpiński, M. Śledziński, D. (Eds.), Speech Prosody 2018: Poznań, Poland, 13-16 June 2018 (pp 114-118). ISCA.Conference contribution | https://doi.org/10.21437/SpeechProsody.2018-23 | UvA-DARENoble, B., Fernández, R. (2015) Centre Stage: How Social Network Position Shapes Linguistic Coordination.In O'Donnell, T. van Schijndel, M. (Eds.), NAACL HLT 2015 : The Sixth Workshop on Cognitive Modeling and Computational Linguistics (CMCL): proceedings of the workshop : June 4, 2015, Denver, Colorado, USA (pp 29-38). The Association for Computational Linguistics.Conference contribution | http://www.aclweb.org/anthology/W15-1104.pdf | UvA-DARE
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