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Results: 1,025
Number of items: 1,025
  • Open Access
    Xu, C., Rus, C., Liu, Y., de Jonge, M., Xu, J., & de Rijke, M. (2025). Fairness in information retrieval from an economic perspective. In SIGIR '25: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 13-18, 2025, Padua, Italy (pp. 4126-4129). Association for Computing Machinery. https://doi.org/10.1145/3726302.3731694
  • Open Access
    Song, H., Liu, Y.-A., Zhang, R., Guo, J., Lv, J., de Rijke, M., & Cheng, X. (2025). The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems. In W. Che, J. Nabende, E. Shutova, & M. T. Pilehvar (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. 13935-13952). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.findings-acl.717
  • Open Access
    Gupta, S. (2025). Safe, efficient and robust reinforcement learning for ranking and diffusion models. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Sidiropoulos, G. (2025). Improving the robustness and effectiveness of neural retrievers in noisy and low-resource settings. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Siro, C. N. (2025). Rethinking the human-centered evaluation of conversational systems. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Khandel, P., Yates, A. C., Varbanescu, A. L., de Rijke, M., & Pimentel, A. D. (2025). PEIR: Modeling Performance in Neural Information Retrieval. In C. Hauff, C. Macdonald, D. Jannach, G. Kazai, F. M. Nardini, F. Pinelli, F. Silvestri, & N. Tonellotto (Eds.), Advances in Information Retrieval: 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6–10, 202 : proceedings (Vol. II, pp. 279-294). (Lecture Notes in Computer Science; Vol. 15573). Springer. https://doi.org/10.1007/978-3-031-88711-6_18
  • Open Access
    Zhao, Y. (2025). From enhancement to exploitation: The dual role of LLMs in recommender systems. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Meng, C., Arabzadeh, N., Askari, A., Aliannejadi, M., & Rijke, M. D. (2025). Query Performance Prediction Using Relevance Judgments Generated by Large Language Models. ACM Transactions on Information Systems, 43(4), Article 106. https://doi.org/10.1145/3736402
  • Open Access
    Kersbergen, B. (2025). Expanding boundaries in scalable session-based recommendations. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Chen, X., Liao, B., Qi, J., Eustratiadis, P., Monz, C., Bisazza, A., & de Rijke, M. (2024). The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models. In Y. Al-Onaizan, M. Bansal, & Y.-N. Chen (Eds.), The 2024 Conference on Empirical Methods in Natural Language Processing : Findings of EMNLP 2024: EMNLP 2024 : November 12-16, 2024 (pp. 1691-1706). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-emnlp.92
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