Search results
Results: 134
Number of items: 134
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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 -
Bhargav, S., Arguello, J., Diaz, F., Mitra, B., & Kanoulas, E. (2024, August 23). TREC-ToT 2024 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13367366
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Bhargav, S., Arguello, J., Diaz, F., Mitra, B., & Kanoulas, E. D. (2024, August 25). TREC-ToT 2024 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13370657
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Bhargav, S., Arguello, J., Diaz, F., Mitra, B., & Kanoulas, E. (2024, May 13). TREC-ToT 2024 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11185090
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Sidiropoulos, G., & Kanoulas, E. (2024). Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive Learning. 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. III, pp. 297–305). (Lecture Notes in Computer Science; Vol. 14610). Springer. https://doi.org/10.1007/978-3-031-56063-7_21
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