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Results: 129
Number of items: 129
  • 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
  • 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
    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
    Ghaleb, E., Khaertdinov, B., Pouw, W., Rasenberg, M., Holler, J., Özyürek, A., & Fernández, R. (2024). Learning Co-Speech Gesture Representations in Dialogue through Contrastive Learning: An Intrinsic Evaluation. In ICMI '24: Proceedings of the 26th International Conference on Multimodal Interaction : November 4-8, 2024, San José, Costa Rica (pp. 274-283). Association for Computing Machinery. https://doi.org/10.1145/3678957.3685707
  • Open Access
    Ghaleb, E., Rasenberg, M., Pouw, W., Toni, I., Holler, J., Özyürek, A., & Fernández, R. (2024). Analysing Cross-Speaker Convergence through the Lens of Automatically Detected Shared Linguistic Constructions. In L. Samuelson, S. Frank, M. Toneva, A. Mackey, & E. Hazeltine (Eds.), 46th Annual Meeting of the Cognitive Science Society (CogSci 2024): Dynamics of Cognition : Rotterdam, the Netherlands, 24-27 July 2024 (Vol. 3, pp. 1717-1723). (Proceedings of the Annual Meeting of the Cognitive Science Society; Vol. 46). Cognitive Science Society. https://escholarship.org/uc/item/43h970fc
  • Open Access
    Qi, J., Sarti, G., Fernández, R., & Bisazza, A. (2024). Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation. In Y. Al-Onaizan, M. Bansal, & Y.-N. Chen (Eds.), The 2024 Conference on Empirical Methods in Natural Language Processing : Proceedings of the Conference: EMNLP 2024 : November 12-16, 2024 (pp. 6037-6053). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.emnlp-main.347
  • Open Access
    Akamine, S., Ghaleb, E., Rasenberg, M., Fernández, R., Meyer, A., & Özyürek, A. (2024). Speakers align both their gestures and words not only to establish but also to maintain reference to create shared labels for novel objects in interaction. In L. Samuelson, S. Frank, M. Toneva, A. Mackey, & E. Hazeltine (Eds.), 46th Annual Meeting of the Cognitive Science Society (CogSci 2024): Dynamics of Cognition : Rotterdam, the Netherlands, 24-27 July 2024 (Vol. 4, pp. 2435-2442). (Proceedings of the Annual Meeting of the Cognitive Science Society; Vol. 46). Cognitive Science Society. https://escholarship.org/uc/item/66x7x5hz
  • Open Access
    Baan, J., Fernández, R., Plank, B., & Aziz, W. (2024). Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? 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. 2, pp. 268-277). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.eacl-short.24
  • Open Access
    Surikuchi, A. K., Fernández, R., & Pezzelle, S. (2024). Not (yet) the whole story: Evaluating Visual Storytelling Requires More than Measuring Coherence, Grounding, and Repetition. 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. 11597–11611). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-emnlp.679
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