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Results: 10
Number of items: 10
  • Open Access
    Siro, C., Abbasiantaeb, Z., Yuan, Y., Aliannejadi, M., & de Rijke, M. (2025). Do Images Clarify? A Study on the Effect of Images on Clarifying Questions in Conversational Search. In CHIIR'25: Proceedings of the 2025 Conference on Human Information Interaction and Retrieval : March 24-28, 2025, Naarm/Melbourne, Australia (pp. 273-291). Association for Computing Machinery. https://doi.org/10.1145/3698204.3716464
  • Open Access
    Siro, C. N. (2025). Rethinking the human-centered evaluation of conversational systems. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Rahmani, H. A., Siro, C., Aliannejadi, M., Craswell, N., Clarke, C. L. A., Faggioli, G., Mitra, B., Thomas, P., & Yilmaz, E. (2025). LLM4Eval@WSDM 2025: Large Language Model for Evaluation in Information Retrieval. In WSDM '25: Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining : March 10-14, 2025, Hannover, Germany (pp. 1120-1121). Association for Computing Machinery. https://doi.org/10.1145/3701551.3705706
  • 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
  • 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
    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
    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
    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
  • Siro, C., Aliannejadi, M., & de Rijke, M. (2022). Understanding User Satisfaction with Task-oriented Dialogue Systems. In SIGIR '22: proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2022, Madrid, Spain (pp. 2018-2023). The Association for Computing Machinery. https://doi.org/10.1145/3477495.3531798
  • Open Access
    Srivastava, A., Siro, C., Shutova, E., Jumelet, J., ter Hoeve, M., Giulianelli, M., Lewis, M., Schubert, M., Tong, X., & BIG-bench authors (2022). Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. (v2 ed.) ArXiv. https://doi.org/10.48550/arXiv.2206.04615
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