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Results: 134
Number of items: 134
  • Open Access
    Abbasiantaeb, Z., Yuan, Y., Kanoulas, E., & Aliannejadi, M. (2024). Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM Interactions. In WSDM '24: Proceedings of the 17th ACM International Conference on Web Search and Data Mining : March 4-8, 2024, Merida, Mexico (pp. 8-17). Association for Computing Machinery. https://doi.org/10.1145/3616855.3635856
  • Open Access
    Huang, J.-H., Yang, C.-C., Shen, Y., Pacces, A. M., & Kanoulas, E. (2024). Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Models. In CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management : October, 21-25. 2024, Boise, ID, USA (pp. 4554-4562). Association for Computing Machinery. https://doi.org/10.1145/3627673.3680025
  • Open Access
    Zhu, H., Huang, J.-H., Rudinac, S., & Kanoulas, E. (2024). Enhancing Interactive Image Retrieval With Query Rewriting Using Large Language Models and Vision Language Models. In Proceedings of the 14th Annual ACM International Conference on Multimedia Retrieval (ICMR'24): Phuket, Thailand, June 10-14, 2024 (pp. 978-987). Association for Computing Machinery. https://doi.org/10.1145/3652583.3658032
  • Open Access
    Bhargav, S. (2024). Navigating uncertain waters in information retrieval: Adapting to domain shifts and complex information needs. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Azzopardi, L., Clarke, C. L. A., Kantor, P., Mitra, B., Trippas, J. R., Ren, Z., Aliannejadi, M., Arabzadeh, N., Chandrasekar, R., de Rijke, M., Eustratiadis, P., Hersh, W., Huang, J., Kanoulas, E., Kareem, J., Li, Y., Lupart, S., Mekonnen, K. A., Roegiest, A., ... Zhao, Y. (2024). Report on the Search Futures Workshop at ECIR 2024. SIGIR Forum, 58(1). https://doi.org/10.1145/3687273.3687288
  • Arguello, J., Bhargav, S., Diaz, F., Kanoulas, E., & Mitra, B. (2023, May 18). TREC-ToT 2023 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11104912
  • Open Access
    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
  • Open Access
    Bhargav, S., Aliannejadi, M., & Kanoulas, E. (2023). Market-Aware Models for Efficient Cross-Market Recommendation. 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. I, pp. 134-149). (Lecture Notes in Computer Science; Vol. 13980). Springer. https://doi.org/10.1007/978-3-031-28244-7_9
  • Open Access
    Askari, A., Aliannejadi, M., Abolghasemi, A., Kanoulas, E., & Verberne, S. (2023). CLosER: Conversational Legal Longformer with Expertise-Aware Passage Response Ranker for Long Contexts. In CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management : October 21-25, 2023, Birmingham, England (pp. 25-35). Association for Computing Machinery. https://doi.org/10.1145/3583780.3614812
  • Open Access
    Capurro, C., Provatorova, V., & Kanoulas, E. (2023). Experimenting with Training a Neural Network in Transkribus to Recognise Text in a Multilingual and Multi-Authored Manuscript Collection. Heritage, 6(12), 7482-7494. https://doi.org/10.3390/heritage6120392
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