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Results: 134
Number of items: 134
  • Open Access
    Khan, O. S., Zhu, H., Sharma, U., Kanoulas, E., Rudinac, S., & Jónsson, B. Þ. (2024). Exquisitor at the Video Browser Showdown 2024: Relevance Feedback Meets Conversational Search. In S. Rudinac, A. Hanjalic, C. Liem, M. Worring, B. Þ. Jónsson, B. Liu, & Y. Yamakata (Eds.), MultiMedia Modeling: 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29-February 2, 2024 : proceedings (Vol. IV, pp. 347–355). (Lecture Notes in Computer Science; Vol. 14557). Springer. https://doi.org/10.1007/978-3-031-53302-0_31
  • Open Access
    Cheirmpos, G., Tabatabaei, S. A., Kanoulas, E., & Tsatsaronis, G. (2024). Benchmarking Named Entity Recognition Approaches for Extracting Research Infrastructure Information from Text. In G. Nicosia, V. Ojha, E. La Malfa, G. La Malfa, P. M. Pardalos, & R. Umeton (Eds.), Machine Learning, Optimization, and Data Science: 9th International Conference, LOD 2023, Grasmere, UK, September 22–26, 2023 : revised selected papers (Vol. I, pp. 131–141). (Lecture Notes in Computer Science; Vol. 14505). Springer. https://doi.org/10.1007/978-3-031-53969-5_11
  • Open Access
    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
  • Open Access
    Ma, H., Zhou, J., Aliannejadi, M., Kanoulas, E., Bin, Y., & Yang, Y. (2024). Ask or Recommend: An Empirical Study on Conversational Product Search. In CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management : October, 21-25. 2024, Boise, ID, USA (pp. 3927-3931). Association for Computing Machinery. https://doi.org/10.1145/3627673.3679875
  • Open Access
    Capurro, C., Provatorova, V., Hendriksen, M., Kanoulas, E., & Dupré, S. (2024). Digital Art Technical Sources for the Netherlands: Integration and Improvement of Sources on Glass for a Sustainable Future – Art DATIS. In B. R. Haverkort, A. de Jongste, P. van Kuilenburg, & R. D. Vromans (Eds.), Commit2Data Article 9 (OpenAccess Series in Informatics; Vol. 124). Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/OASIcs.Commit2Data.9
  • Open Access
    Soudani, H., Kanoulas, E., & Hasibi, F. (2024). Fine Tuning vs. Retrieval Augmented Generation for Less Popular Knowledge. 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. 12-22). Association for Computing Machinery. https://doi.org/10.1145/3673791.3698415
  • Open Access
    Huang, J.-H., Zhu, H., Shen, Y., Rudinac, S., Pacces, A. M., & Kanoulas, E. (2024). A Novel Evaluation Framework for Image2Text Generation. In C. Siro, M. Aliannejadi, H. A. Rahmani, N. Craswell, C. L. A. Clarke, G. Faggioli, B. Mitra, P. Thomas, & E. Yilmaz (Eds.), Proceedings of The First Workshop on Large Language Models for Evaluation in Information Retrieval (LLM4Eval 2024): co-located with 10th International Conference on Online Publishing (SIGIR 2024) : Washington D.C., USA, July 18, 2024 (pp. 51-65). Article 4 (CEUR Workshop Proceedings; Vol. 3752). CEUR-WS.
  • Open Access
    Nonkes, N., Agaronian, S., Kanoulas, E., & Petcu, R. (2024). Leveraging Graph Structures to Detect Hallucinations in Large Language Models. In D. Ustalov, Y. Gao, A. Panchenko, E. Tutubalina, I. Nikishina, A. Ramesh, A. Sakhovskiy, R. Usbeck, G. Penn, & M. Valentino (Eds.), Proceedings of TextGraphs-17: Graph-based Methods for Natural Language Processing : The 62nd Annual Meeting of the Association of Computational Linguistics: TextGraphs @ ACL 2024 : August 15, 2024 (pp. 93-104). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.textgraphs-1.7
  • Open Access
    Krasakis, A. M., Yates, A., & Kanoulas, E. (2024). Contextualizing and Expanding Conversational Queries without Supervision. ACM Transactions on Information Systems, 42(3), Article 77. https://doi.org/10.1145/3632622
  • Open Access
    Zou, J., Sun, A., Long, C., & Kanoulas, E. (2024). Knowledge-Enhanced Conversational Recommendation via Transformer-Based Sequential Modeling: ACM Transactions on Information Systems. ACM Transactions on Information Systems, 42(6), Article 162. https://doi.org/10.1145/3677376
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