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Results: 46
Number of items: 46
  • 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
    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). 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
    Li, M. (2024). Repetition and exploration in recommendation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Deffayet, R. E. (2024). Taming the dynamics of recommender systems. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Bleeker, M. J. R. (2024). Multi-modal learning algorithms for sequence modeling and representation learning. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    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
  • Open Access
    Pal, V., Kanoulas, E., Yates, A., & de Rijke, M. (2024). Table Question Answering for Low-resourced Indic Languages. 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. 75-92). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.emnlp-main.5
  • 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
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