Searchable List of Research Output

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  • Zhang, J. (2011) System evaluation of archival description and access.
    IR Publications.
    Thesis, fully internal | UvA-DARE
  • Zhang, P., Cao, C., Zaporojets, K., Groth, P. (2024) CYCLE: Cross-Year Contrastive Learning in Entity-Linking.
    In CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management : October, 21-25. 2024, Boise, ID, USA (pp 3197-3206). Association for Computing Machinery.
  • Zhang, Tianyu, Williams, Andrew, Wozny, Phillip, Cohrs, Kai-Hendrik, Ponse, Koen, Jiralerspong, Marco, Phade, Soham Rajesh, Srinivasa, Sunil, Li, Lu, Zhang, Yang, Gupta, Prateek, Acar, E., Rish, Irina, Bengio, Yoshua, Zheng, Stephan (2025) AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N.
    Proceedings of Machine Learning Research, Vol. 267 (pp 76332-76360)
  • Zhang, Z., Yannakoudakis, H., Zhen, X., Shutova, E. (2023) CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension.
    In Vlachos, A. Augenstein, I. (Eds.), The 17th Conference of the European Chapter of the Association for Computational Linguistics : Findings of EACL 2023: EACL 2023 : May 2-6, 2023 (pp 2586-2596). Association for Computational Linguistics.
  • Zhang, Z., Zhang, Q., Gao, Z., Zhang, R., Shutova, E., Zhou, S., Zhang, S. (2024) Gradient-based Parameter Selection for Efficient Fine-Tuning.
    In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition: CVPR 2024 : Seattle, Washington, USA, 16-22 June 2024 : proceedings (pp 28566-28577). IEEE Computer Society.
  • Zhang, Z. (2025) Advancing vision and language models through commonsense knowledge, efficient adaptation and transparency.
    ILLC Dissertation Series
    Thesis, fully internal | UvA-DARE
  • Zhao, B., van de Pol, I., Raijmakers, M., Szymanik, J. (2018) Predicting Cognitive Difficulty of the Deductive Mastermind Game with Dynamic Epistemic Logic Models.
    In Rogers, T.T. Rau, M. Zhu, X. Kalish, C.W. (Eds.), COGSCI 2018: Changing/Minds : 40th Annual Cognitive Science Society Meeting : Madison, WisconChanging/Minds : 40th Annual Cognitive Science Society Meeting : Madison, Wiscsin, USA, July 25-28 (pp 2789-2794). Cognitive Science Society.
  • Zhao, Y., Titov, I. (2020) Visually grounded compound PCFGs.
    In Webber, B. Cohn, T. He, Y. Liu, Y. (Eds.), 2020 Conference on Empirical Methods in Natural Language Processing: EMNLP 2020 : proceedings of the conference : November 16-20, 2020 (pp 4369-4379). The Association for Computational Linguistics.
  • Zhao, Y., Titov, I. (2021) An empirical study of compound PCFGs.
    In Ben-David, E. Cohen, S. McDonald, R. Plank, B. Reichart, R. Rotman, G. Ziser, Y.. (Eds.), The Second Workshop on Domain Adaptation for NLP: Adap-NLP 2021 : Proceedings of the Workshop : April 20, 2021 (pp 166-171). Association for Computational Linguistics.
  • Zhao, Y., Titov, I. (2023) On the Transferability of Visually Grounded PCFGs.
    In Bouamor, H. Pino, J. Bali, K. (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 7895-7910). Association for Computational Linguistics.
  • Zhdanov, M., Ruhe, D., Weiler, M., Lucic, A., Forré, P., Brandstetter, J., Forré, P. (2024) Clifford-steerable convolutional neural networks.
    Proceedings of Machine Learning Research, Vol. 235 (pp 61203-612228)
  • Zheng, H., Grossi, D., Verheij, B. (2020) Case-based reasoning with precedent models: Preliminary report.
    In Prakken, H. Bistarelli, S. Santini, F. Taticchi, C. (Eds.), Computational Models of Argument: proceedings of COMMA 2020 (pp 443-450) (Frontiers in Artificial Intelligence and Applications, Vol. 326). IOS Press.
    Conference contribution | https://doi.org/10.3233/FAIA200528 | UvA-DARE
  • Zheng, Sue, Bloem, J. (2026) Benchmarking Multilingual LLM Translation Accuracy for Fuzhounese.
    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
  • Zhizhkun, V.B. (2006) Graph transformations for natural language processing.
    Thesis, fully internal | UvA-DARE
  • Zhong, S. (2015) Orthogonality and quantum geometry: Towards a relational reconstruction of quantum theory.
    Thesis, fully internal | UvA-DARE
  • Zhou, Wei, Bloem, J. (2021) Comparing Contextual and Static Word Embeddings with Small Philosophical Data.
    In Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021) (pp 253-259). KONVENS 2021 Organizers.
  • Ziegler, M., Koolen, W.M. (2008) Kolmogorov Complexity Theory over the reals.
    Electronic Notes in Theoretical Computer Science, Vol. 221 (pp 153-169)
  • Zoeteweij, P., Arbab, A. (2004) A component-Based Parallel Constraint Solver.
    In de Nicola, R. Ferrari, G. Meredith, G. (Eds.), Coordination Models and Languages, Proceedings of COORDINATION (pp 307-322). Springer Verlag.
    Conference contribution | UvA-DARE
  • Zoeteweij, P. (2004) Constraining Special Purpose Domain Types.
    In Principles and Practice of Constraint Programming. Springer-Verlag.
    Conference contribution | UvA-DARE
  • Zoeteweij, P. (2005) Composing constraint solvers.
    PrintPartners Ipskamp.
    Thesis, externally prepared | UvA-DARE

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