Search results
Results: 46
Number of items: 46
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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 -
Li, C., Yates, A., Macavaney, S., He, B., & Sun, Y. (2024). PARADE: Passage Representation Aggregation for Document Reranking. ACM Transactions on Information Systems, 42(2), Article 36. https://doi.org/10.1145/3600088
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Thijssen, S., Khandel, P., Yates, A., & Varbanescu, A.-L. (2024). MassiveClicks: A Massively-Parallel Framework for Efficient Click Models Training. In D. Zeinalipur, D. Blanco Heras, G. Pallis, H. Herodotou, D. Trihinas, D. Balouek, P. Diehl, T. Cojean, K. Fürlinger, M. H. Kirkeby, M. Nardelli, & P. Di Sanzo (Eds.), Euro-Par 2023: Parallel Processing Workshops: Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28-September 1, 2023 : revised selected papers (Vol. I, pp. 232–245). (Lecture Notes in Computer Science; Vol. 14351). Springer. https://doi.org/10.1007/978-3-031-50684-0_18
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Li, M., Liu, Y., Jullien, S., Ariannezhad, M., Yates, A., Aliannejadi, M., & de Rijke, M. (2024). Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation? In SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 14-18, 2024, Washington, DC, USA (pp. 924-934). Association for Computing Machinery. https://doi.org/10.1145/3626772.3657835
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Nguyen, T., Hendriksen, M., Yates, A., & de Rijke, M. (2024). Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control. 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. 448–464). ( Lecture Notes in Computer Science; Vol. 14609). Springer. https://doi.org/10.48550/arXiv.2402.17535, https://doi.org/10.1007/978-3-031-56060-6_29
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Rus, C., Yates, A., & de Rijke, M. (2024). A Study of Pre-processing Fairness Intervention Methods for Ranking People. 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. IV, pp. 336–350). (Lecture Notes in Computer Science; Vol. 14611). Springer. https://doi.org/10.1007/978-3-031-56066-8_26
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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
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Khandel, P., Yates, A., Varbanescu, A.-L., de Rijke, M., & Pimentel, A. (2024). Distillation vs. Sampling for Efficient Training of Learning to Rank Models. In ICTIR '24: Proceedings of the 2024 ACM SIGIR International Conference on the Theory of Information Retrieval : July 13, 2024 Washington, DC, USA (pp. 51-60). The Association for Computing Machinery. https://doi.org/10.1145/3664190.3672527
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Nguyen, T., MacAvaney, S., & Yates, A. (2023). A Unified Framework for Learned Sparse Retrieval. In J. Kamps, L. Goeuriot, F. Crestani, M. Maistro, H. Joho, B. Davis, C. Gurrin, U. Kruschwitz, & A. Caputo (Eds.), Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023 : proceedings (Vol. III, pp. 101-116). (Lecture Notes in Computer Science; Vol. 13982). Springer. https://doi.org/10.48550/arXiv.2303.13416, https://doi.org/10.1007/978-3-031-28241-6_7
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