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Results: 11
Number of items: 11
  • Open Access
    Carraz Rakotonirina, N., Hamdy, M., Campos, J. A., Weber, L., Testoni, A., Fadaee, M., Pezzelle, S., & Del Tredici, M. (2025). From Tools to Teammates: Evaluating LLMs in Multi-Session Coding Interactions. In W. Che, J. Nabende, E. Shutova, & M. T. Pilehvar (Eds.), The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) : proceedings of the conference: ACL 2025 : July 27-August 1, 2025 (Vol. 1, pp. 19609-19642). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.acl-long.964
  • Open Access
    Bavaresco, A., Bernardi, R., Bertolazzi, L., Elliott, D., Fernández, R., Gatt, A., Ghaleb, E., Giulianelli, M., Hanna, M., Koller, A., Martins, A. F. T., Mondorf, P., Neplenbroek, V., Pezzelle, S., Plank, B., Schlangen, D., Suglia, A., Surikuchi, A. K., Takmaz, E., & Testoni, A. (2025). LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks. In W. Che, J. Nabende, E. Shutova, & M. T. Pilehvar (Eds.), The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) : proceedings of the conference: ACL 2025 : July 27-August 1, 2025 (Vol. 2, pp. 238–255). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.acl-short.20
  • Open Access
    Testoni, A., Plank, B., & Fernández, R. (2025). RAcQUEt: Unveiling the Dangers of Overlooked Referential Ambiguity in Visual LLMs. In C. Christodoulopoulos, T. Chakraborty, C. Rose, & V. Peng (Eds.), The 2025 Conference on Empirical Methods in Natural Language Processing : Proceedings of the Conference: EMNLP 2025 : November 4-9, 2025 (pp. 23627–23647). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.emnlp-main.1206
  • Bavaresco, A., Testoni, A., & Fernández, R. (2024, May 30). TRADE: TRuly ADversarial ad understanding Evaluation [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11355892
  • Open Access
    Mazzaccara, D., Testoni, A., & Bernardi, R. (2024). Learning to Ask Informative Questions: Enhancing LLMs with Preference Optimization and Expected Information Gain. In Y. Al-Onaizan, M. Bansal, & Y.-N. Chen (Eds.), The 2024 Conference on Empirical Methods in Natural Language Processing : Findings of EMNLP 2024: EMNLP 2024 : November 12-16, 2024 (pp. 5064-5074). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-emnlp.291
  • Open Access
    Bavaresco, A., Testoni, A., & Fernández, R. (2024). Don’t Buy it! Reassessing the Ad Understanding Abilities of Contrastive Multimodal Models. In L.-W. Ku, A. Martins, & V. Srikumar (Eds.), The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) : proceedings of the conference: ACL 2024 : August 11-16, 2024 (Vol. 2, pp. 870-879). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.acl-short.77
  • Open Access
    Testoni, A., & Fernández, R. (2024). Asking the Right Question at the Right Time: Human and Model Uncertainty Guidance to Ask Clarification Questions. In Y. Graham, & M. Purver (Eds.), The 18th Conference of the European Chapter of the Association for Computational Linguistics : Proceedings of the Conference: EACL 2024 : March 17-22, 2024 (Vol. 1, pp. 258-275). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.eacl-long.16
  • Open Access
    Testoni, A., Sprott, J., & Pezzelle, S. (2024). Naming, Describing, and Quantifying Visual Objects in Humans and LLMs. In L.-W. Ku, A. Martins, & V. Srikumar (Eds.), The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) : proceedings of the conference: ACL 2024 : August 11-16, 2024 (Vol. 2, pp. 547-557). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.acl-short.50
  • Open Access
    Testoni, A., Bernardi, R., & Ruggeri, A. (2023). The Efficiency of Question-Asking Strategies in a Real-World Visual Search Task. Cognitive Science, 47(12), Article e13396. https://doi.org/10.1111/cogs.13396
  • Open Access
    Testoni, A., Shekhar, R., Fernández, R., & Bernardi, R. (2019). The Devil is in the Details: A Magnifying Glass for the GuessWhich Visual Dialogue Game. In C. Howes, J. Hough, & C. Kennington (Eds.), LondonLogue : Proceedings of the 23rd Workshop on the Semantics and Pragmatics of Dialogue: London, 4-6-September 2019 (pp. 15-24). (Proceedings SemDial; Vol. 2019). SEMDIAL. http://semdial.org/anthology/papers/Z/Z19/Z19-3005/
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