Search results
Results: 129
Number of items: 129
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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
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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 -
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
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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
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Luden, I., Giulianelli, M., & Fernández, R. (2024). Beyond Perplexity: Examining Temporal Generalization in Large Language Models via Definition Generation. Computational Linguistics in the Netherlands Journal, 13, 205–232. https://clinjournal.org/clinj/article/view/181
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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
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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
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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
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Takmaz, E., Pezzelle, S., & Fernández, R. (2024). Describing Images Fast and Slow: Quantifying and Predicting the Variation in Human Signals during Visuo-Linguistic Processes. 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. 2072-2087). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.eacl-long.126
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