Search results
Results: 101
Number of items: 101
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Askari, A., Petcu, R., Meng, C., Aliannejadi, M., Abolghasemi, A., Kanoulas, E., & Verberne, S. (2025). SOLID: Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking Dialogs. In L. Chiruzzo, A. Ritter, & L. Wang (Eds.), Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics : Proceedings of the Conference : Findings: NAACL 2025 : April 29-May 4, 2025 (pp. 6390–6410). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.findings-naacl.357 -
Naghiaei, M., Dehghan, M., Rahmani, H. A., Azizi, J., & Aliannejadi, M. (2024). Personalized Beyond-accuracy Calibration in Recommendation. In ICTIR '24: Proceedings of the 2024 ACM SIGIR International Conference on the Theory of Information Retrieval : July 13, 2024 Washington, DC, USA (pp. 107–116). The Association for Computing Machinery. https://doi.org/10.1145/3664190.3672507 -
Siro, C., Aliannejadi, M., & de Rijke, M. (2024). Rethinking the Evaluation of Dialogue Systems: Effects of User Feedback on Crowdworkers and LLMs. In SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 14-18, 2024, Washington, DC, USA (pp. 1952-1962). Association for Computing Machinery. https://doi.org/10.1145/3626772.3657712 -
Siro, C., Aliannejadi, M., & de Rijke, M. (2024). Context Does Matter: Implications for Crowdsourced Evaluation Labels in Task-Oriented Dialogue Systems. In K. Duh, H. Gomez, & S. Bethard (Eds.), Findings of the Association for Computational Linguistics: NAACL 2024: Findings: Findings 2024 : June 16-21, 2024 (pp. 1258–1273). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-naacl.80 -
Meng, C., Arabzadeh, N., Askari, A., Aliannejadi, M., & de Rijke, M. (2024). Ranked List Truncation for Large Language Model-based Re-Ranking. In SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 14-18, 2024, Washington, DC, USA (pp. 141-151). Association for Computing Machinery. https://doi.org/10.1145/3626772.3657864 -
Rahmani, H. A., Wang, X., Aliannejadi, M., Naghiaei, M., & Yilmaz, E. (2024). Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness. In Y. Graham, & M. Purver (Eds.), The 18th Conference of the European Chapter of the Association for Computational Linguistics : Findings of EACL 2024: EACL 2024 : March 17-22, 2024 (pp. 1266–1277). Association for Computational Linguistics. https://doi.org/10.48550/arXiv.2402.01934 -
Aliannejadi, M., Abbasiantaeb, Z., Chatterjee, S., Dalton, J., & Azzopardi, L. (2024). TREC iKAT 2023: A Test Collection for Evaluating Conversational and Interactive Knowledge Assistants. In SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 14-18, 2024, Washington, DC, USA (pp. 819-829). Association for Computing Machinery. https://doi.org/10.1145/3626772.3657860 -
Siro, C., Aliannejadi, M., & de Rijke, M. (2024). Understanding and Predicting User Satisfaction with Conversational Recommender Systems. ACM Transactions on Information Systems, 42(2), Article 55. https://doi.org/10.1145/3624989 -
Yuan, Y., Siro, C., Aliannejadi, M., de Rijke, M., & Lam, W. (2024). Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search. In WWW '24: Proceedings of the ACM Web Conference 2024 : May 13-17, 2024, Singapore, Singapore (pp. 1474-1485). The Association for Computing Machinery. https://doi.org/10.48550/arXiv.2402.07742, https://doi.org/10.1145/3589334.3645483 -
Arabzadeh, N., Meng, C., Aliannejadi, M., & Bagheri, E. (2024). Query Performance Prediction: From Fundamentals to Advanced Techniques. 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. V, pp. 381–388). (Lecture Notes in Computer Science; Vol. 14612). Springer. https://doi.org/10.1007/978-3-031-56069-9_51
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