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Results: 1,033
Number of items: 1,033
  • Open Access
    Lyu, Y. (2025). Aligning language models with human understanding and behavior. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Pal, V. (2025). Information seeking over semi-structured tabular data. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Bouchè, G., Helberger, N., de Rijke, M., & van Drunen, M. Z. (2025). LLMs as media technology: implications under article 10 ECHR. International Journal of Law and Information Technology, 33, Article eaaf027 . https://doi.org/10.1093/ijlit/eaaf027
  • Open Access
    Sprangers, O. R. (2024). Efficient and accurate forecasting in large-scale settings. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Deffayet, R. E. (2024). Taming the dynamics of recommender systems. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Sun, W., Guo, S., Zhang, S., Ren, P., Chen, Z., de Rijke, M., & Ren, Z. (2024). Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems. ACM Transactions on Information Systems, 42(1), Article 17. https://doi.org/10.48550/arXiv.2204.00763, https://doi.org/10.1145/3596510
  • Open Access
    Wang, Z. (2024). Beyond boundaries: Towards generalizable information extraction frameworks. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Schelter, S., Grafberger, S., & de Rijke, M. (2024). Snarcase - Regain Control over Your Predictions with Low-Latency Machine Unlearning. Proceedings of the VLDB Endowment, 17(12), 4273-4276. https://doi.org/10.14778/3685800.3685853
  • Open Access
    Gupta, S., Oosterhuis, H., & de Rijke, M. (2024). Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank. In CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management : October, 21-25. 2024, Boise, ID, USA (pp. 737-747). Association for Computing Machinery. https://doi.org/10.1145/3627673.3679531
  • Open Access
    Deng, S., Sprangers, O., Li, M., Schelter, S., & de Rijke, M. (2024). Domain Generalization in Time Series Forecasting. ACM Transactions on Knowledge Discovery from Data, 18(5), Article 113. https://doi.org/10.1145/3643035
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