Search results
Results: 1,032
Number of items: 1,032
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Wang, Z., Zhao, Z., Lyu, Y., Chen, Z., de Rijke, M., & Ren, Z. (2025). A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition. In WWW '25 : Proceedings of the ACM Web Conference 2025: April 28-May 2, 2025, Sydney, NSW, Australia (pp. 4183-4195). Association for Computing Machinery. https://doi.org/10.1145/3696410.3714923 -
Xu, C., Deng, Z., Rus, C., Ye, X., Liu, Y., Xu, J., Dou, Z., Wen, J.-R., & de Rijke, M. (2025). FairDiverse: A Comprehensive Toolkit for Fairness- and Diversity-aware Information Retrieval. 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. 3540-3550). Association for Computing Machinery. https://doi.org/10.1145/3726302.3730280 -
Siro, C., Abbasiantaeb, Z., Yuan, Y., Aliannejadi, M., & de Rijke, M. (2025). Do Images Clarify? A Study on the Effect of Images on Clarifying Questions in Conversational Search. In CHIIR'25: Proceedings of the 2025 Conference on Human Information Interaction and Retrieval : March 24-28, 2025, Naarm/Melbourne, Australia (pp. 273-291). Association for Computing Machinery. https://doi.org/10.1145/3698204.3716464 -
Heuss, M., de Rijke, M., & Anand, A. (2025). RankingSHAP - Faithful Listwise Feature Attribution Explanations for Ranking Models. 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. 381-391). Association for Computing Machinery. https://doi.org/10.1145/3726302.3729971 -
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 -
Mekonnen, K. A., Tang, Y., & de Rijke, M. (2025). Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval. 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. 1327-1338). Association for Computing Machinery. https://doi.org/10.1145/3726302.3730023 -
Mekonnen, K. A., Alemneh, Y. W., & de Rijke, M. (2025). Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval. 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. 10428-10445). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.findings-acl.543
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