Search results
Results: 1,033
Number of items: 1,033
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Deffayet, R., Renders, J.-M., & de Rijke, M. (2023). Evaluating the Robustness of Click Models to Policy Distributional Shift. ACM Transactions on Information Systems, 41(4), Article 84. https://doi.org/10.1145/3569086
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Rajapakse, T. C., & de Rijke, M. (2023). Improving the Generalizability of the Dense Passage Retriever. 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. II, pp. 94-109). (Lecture Notes in Computer Science; Vol. 13981). Springer. https://doi.org/10.1007/978-3-031-28238-6_7
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Ling, Y., Cai, F., Liu, J., Chen, H., & de Rijke, M. (2023). Keep and Select: Improving hierarchical context modeling for multi-turn response generation. IEEE Transactions on Neural Networks and Learning Systems, 34(7), 3636-3649. https://doi.org/10.1109/TNNLS.2021.3112700
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Pal, V., Yates, A., Kanoulas, E., & de Rijke, M. (2023). MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering. In A. Rogers, J. Boyd-Graber, & N. Okazaki (Eds.), The 61st Conference of the Association for Computational Linguistics: Proceedings of the Conference : ACL 2023 : July 9-14, 2023 (Vol. 1, pp. 6322–6334). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.acl-long.348 -
Wu, C., Zhang, R., Guo, J., de Rijke, M., Fan, Y., & Cheng, X. (2023). PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking Models. ACM Transactions on Information Systems, 41(4), Article 89. https://doi.org/10.1145/3576923 -
Heuss, M., Cohen, D., Mansoury, M., de Rijke, M., & Eickhoff, C. (2023). Predictive Uncertainty-based Bias Mitigation in Ranking. In CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management : October 21-25, 2023, Birmingham, England (pp. 762-772). Association for Computing Machinery. https://doi.org/10.1145/3583780.3615011 -
Sarvi, F., Vardasbi, A., Aliannejadi, M., Schelter, S., & de Rijke, M. (2023). On the Impact of Outlier Bias on User Clicks. In SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 23-27, 2023, Taipei, Taiwan (pp. 18-27). Association for Computing Machinery. https://doi.org/10.1145/3539618.3591745 -
Fang, Y., Zhao, X., Chen, Y., Xiao, W., & de Rijke, M. (2023). PF-HIN: Pre-Training for Heterogeneous Information Networks. IEEE Transactions on Knowledge and Data Engineering, 35(8), 8372-8385. https://doi.org/10.1109/TKDE.2022.3206597 -
Meng, C., Aliannejadi, M., & de Rijke, M. (2023). Performance Prediction for Conversational Search Using Perplexities of Query Rewrites. In G. Faggioli, N. Ferro, J. Mothe, & F. Raiber (Eds.), Proceedings of the The QPP++ 2023: Query Performance Prediction and Its Evaluation in New Tasks Workshop: co-located with The 45th European Conference on Information Retrieval (ECIR) : Dublin, Ireland, April 6th, 2023 (pp. 25-28). (CEUR Workshop Proceedings; Vol. 3366). CEUR-WS. https://ceur-ws.org/Vol-3366/paper-05.pdf
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