Search results
Results: 11
Number of items: 11
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Hutter, J., Rau, D., Marx, M., & Kamps, J. (2025). Lost but Not Only in the Middle: Positional Bias in Retrieval Augmented Generation. In C. Hauff, C. Macdonald, D. Jannach, G. Kazai, F. M. Nardini, F. Pinelli, F. Silvestri, & N. Tonellotto (Eds.), Advances in Information Retrieval: 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6–10, 202 : proceedings (Vol. I, pp. 247-261). (Lecture Notes in Computer Science; Vol. 15572). Springer. https://doi.org/10.1007/978-3-031-88708-6_16 -
Rau, D., Wang, S., Déjean, H., Clinchant, S., & Kamps, J. (2025). Context Embeddings for Efficient Answer Generation in Retrieval-Augmented Generation. In WSDM '25: Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining : March 10-14, 2025, Hannover, Germany (pp. 493-502). Association for Computing Machinery. https://doi.org/10.1145/3701551.3703527 -
Rau, D., Dehghani, M., & Kamps, J. (2024). Revisiting Bag of Words Document Representations for Efficient Ranking with Transformers. ACM Transactions on Information Systems, 42(5), Article 114. https://doi.org/10.1145/3640460 -
Rau, D., & Kamps, J. (2024). Query Generation Using Large Language Models: A Reproducibility Study of Unsupervised Passage Reranking. 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. 226-239). (Lecture Notes in Computer Science; Vol. 14611). Springer. https://doi.org/10.1007/978-3-031-56066-8_19 -
Hutter, R., Sutmuller, J., Adib, M., Rau, D., & Kamps, J. (2023). University of Amsterdam at the CLEF 2023 SimpleText Track. In M. Aliannejadi, G. Faggioli, N. Ferro, & M. Vlachos (Eds.), Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023): Thessaloniki, Greece, September 18th to 21st, 2023 (pp. 3007-3016). Article 252 (CEUR Workshop Proceedings; Vol. 3497). CEUR-WS. https://ceur-ws.org/Vol-3497/paper-252.pdf -
Rau, D., & Kamps, J. (2022). How Different are Pre-trained Transformers for Text Ranking? In M. Hagen, S. Verberne, C. Macdonald, C. Seifert, K. Balog, K. Nørvåg, & V. Setty (Eds.), Advances in Information Retrieval: 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022 : proceedings (Vol. II, pp. 207-214). (Lecture Notes in Computer Science; Vol. 13186). Springer. https://doi.org/10.1007/978-3-030-99739-7_24 -
Rau, D., & Kamps, J. (2022). Recall Aspects of Transformers for Text Ranking. In I. Soboroff, & A. Ellis (Eds.), The Thirtieth Text REtrieval Conference (TREC 2021) Proceedings (NIST Special Publication; No. SP 500-335). National Institute of Standards and Technology. https://trec.nist.gov/pubs/trec30/papers/UAmsterdam-DL.pdf -
Mostert, F., Sampatsing, A., Spronk, M., Rau, D., & Kamps, J. (2022). University of Amsterdam at the CLEF 2022 SimpleText Track. In G. Faggioli, N. Ferro, A. Hanbury, & M. Potthast (Eds.), Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum: Bologna, Italy, September 5th to 8th, 2022 (pp. 2832-2844). (CEUR Workshop Proceedings; Vol. 3180). CEUR-WS. http://ceur-ws.org/Vol-3180/paper-242.pdf -
Rau, D., & Kamps, J. (2022). The Role of Complex NLP in Transformers for Text Ranking? In ICTIR'22: proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval : July 11-12, 2022, Madrid, Spain (pp. 153-160). The Association for Computing Machinery. https://doi.org/10.1145/3539813.3545144 -
Kamps, J., Kondylidis, N., & Rau, D. (2021). Impact of Tokenization, Pretraining Task, and Transformer Depth on Text Ranking. In E. M. Voorhees, & A. Ellis (Eds.), The Twenty-Ninth Text REtrieval Conference (TREC 2020) Proceedings (NIST Special Publication; No. SP 1266). National Institute of Standards and Technology. https://trec.nist.gov/pubs/trec29/papers/UAmsterdam.DL.pdf
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