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Results: 46
Number of items: 46
  • Open Access
    Rajapakse Mudiyanselage, T. C. R. (2026). Transformers for search: Retrieval, robustness, and refusal. [Thesis, fully internal, Universiteit van Amsterdam].
  • Clarke, C. L. A., Kantor, P., Roegiest, A., Trippas, J. R., Ren, Z., Bucarelli, M. S., Fu, X., Fan, Y., Granitzer, M., Graus, D., Heuss, M., Kamps, J., Lei, Y., Parry, A., Reijnaers, D., de Rijke, M., Singh, S. A. K., Tang, Y., Verberne, S., ... Zhao, J. (2025). Report on the 2nd Search Futures Workshop at ECIR 2025. SIGIR Forum, 59(1). https://doi.org/10.1145/3769733.3769742
  • Open Access
    Qiao, J., Ju, J.-H., Ma, X., Kanoulas, E., & Yates, A. (2025). Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late Interaction. 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. 3335-3345). Association for Computing Machinery. https://doi.org/10.1145/3726302.3730285
  • Open Access
    Yates, A., Lassance, C., Rulli, C., Yang, E., MacAvaney, S., Singh, S. A. K., Nguyen, T., & Lei, Y. (2025). Neural Lexical Search with Learned Sparse 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. 4122-4125). Association for Computing Machinery. https://doi.org/10.1145/3726302.3731693
  • 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
    Krasakis, A. M. (2025). Improving passage retrieval for conversational search. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Lei, Y., Cao, Y., Zhou, T., Shen, T., & Yates, A. (2024). Corpus-Steered Query Expansion with Large Language Models. In Y. Graham, & M. Purver (Eds.), The 18th Conference of the European Chapter of the Association for Computational Linguistics: proceedings of the conference : EACL 2024 : March 17-22, 2024 (Vol. 2, pp. 393-401). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.eacl-short.34
  • Open Access
    Nguyen, T., Chatterjee, S., MacAvaney, S., Mackie, I., Dalton, J., & Yates, A. (2024). DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities. In Y. Al-Onaizan, M. Bansal, & Y.-N. Chen (Eds.), The 2024 Conference on Empirical Methods in Natural Language Processing : Proceedings of the Conference: EMNLP 2024 : November 12-16, 2024 (pp. 767-783). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.emnlp-main.45
  • Open Access
    Tran, H. D., Yates, A., & Weikum, G. (2024). Conversational Search with Tail Entities. In N. Goharian, N. Tonellotto, Y. He, A. Lipani, G. McDonald, C. Macdonald, & I. Ounis (Eds.), Advances in Information Retrieval: 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24–28, 2024 : proceedings (Vol. II, pp. 303–317). (Lecture Notes in Computer Science; Vol. 14609). Springer. https://doi.org/10.1007/978-3-031-56060-6_20
  • Open Access
    Krasakis, A. M., Yates, A., & Kanoulas, E. (2024). Contextualizing and Expanding Conversational Queries without Supervision. ACM Transactions on Information Systems, 42(3), Article 77. https://doi.org/10.1145/3632622
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