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Results: 46
Number of items: 46
  • Open Access
    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
  • Open Access
    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
  • Open Access
    Tigunova, A., Haratinezhad Torbati, G., Yates, A., & Weikum, G. (2024). STAR: Sparse Text Approach for Recommendation. In CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management : October, 21-25. 2024, Boise, ID, USA (pp. 4086–4090). Association for Computing Machinery. https://doi.org/10.1145/3627673.3679999
  • Open Access
    Rajapakse, T. C., Yates, A., & de Rijke, M. (2024). Negative Sampling Techniques for Dense Passage Retrieval in a Multilingual Setting. 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. 575-584). Association for Computing Machinery. https://doi.org/10.1145/3626772.3657854
  • Open Access
    Wu, D., Lei, Y., Yates, A., & Monz, C. (2024). Representational Isomorphism and Alignment of Multilingual Large Language Models. In J. Sälevä, & A. Owodunni (Eds.), The 4th Workshop on Multilingual Representation Learning : proceedings of the workshop: MRL 2024 : November 16, 2024 (pp. 293-297). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.mrl-1.24
  • Open Access
    Wu, D., Lei, Y., Yates, A., & Monz, C. (2024). Representational Isomorphism and Alignment of Multilingual 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. 14074-14085). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-emnlp.823
  • 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
    Rus, C., Poerwawinata, G., Yates, A., & de Rijke, M. (2024). AnnoRank: A Comprehensive Web-Based Framework for Collecting Annotations and Assessing Rankings. In CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management : October, 21-25. 2024, Boise, ID, USA (pp. 5400-5404). Association for Computing Machinery. https://doi.org/10.1145/3627673.3679174
  • Open Access
    Rajapakse, T. C., Yates, A., & de Rijke, M. (2024). Simple Transformers: Open-source for All. In SIGIR-AP '24: Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region : December 9-12, 2024, Tokyo, Japan (pp. 209-215). Association for Computing Machinery. https://doi.org/10.1145/3673791.3698412
  • Open Access
    Farrell, M. J., Le Guillarme, N., Brierley, L., Hunter, B., Scheepens, D., Willoughby, A., Yates, A., & Mideo, N. (2024). The changing landscape of text mining: a review of approaches for ecology and evolution. Proceedings of the Royal Society B: Biological Sciences, 291(2027), Article 20240423. https://doi.org/10.1098/rspb.2024.0423
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