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Results: 96
Number of items: 96
  • Open Access
    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
  • Open Access
    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
  • Open Access
    Rahmani, H. A., Siro, C., Aliannejadi, M., Craswell, N., Clarke, C. L. A., Faggioli, G., Mitra, B., Thomas, P., & Yilmaz, E. (2024). LLM4Eval: Large Language Model for Evaluation in IR. 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. 3040-3043). Association for Computing Machinery. https://doi.org/10.1145/3626772.3657992
  • 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
    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
  • Open Access
    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
  • 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
    Liu, Y., Li, M., Ariannezhad, M., Mansoury, M., Aliannejadi, M., & de Rijke, M. (2024). Measuring Item Fairness in Next Basket Recommendation: A Reproducibility Study. 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. 210-225). (Lecture Notes in Computer Science; Vol. 14611). Springer. https://doi.org/10.1007/978-3-031-56066-8_18
  • Open Access
    Sun, X., Pei, J., de Wit, J., Aliannejadi, M., Krahmer, E., Dobber, J. T. P., & Bosch, J. A. (2024). Eliciting Motivational Interviewing Skill Codes in Psychotherapy with LLMs: A Bilingual Dataset and Analytical Study. In N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, & N. Xue (Eds.), The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024): main conference proceedings : 20-25 May, 2024, Torino, Italia (pp. 5609-5621). (COLING), (LREC). ELRA Language Resources Association. https://aclanthology.org/2024.lrec-main.498/
  • Open Access
    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
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