Search results
Results: 130
Number of items: 130
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Neplenbroek, V., Bisazza, A., & Fernández, R. (2025). Cross-Lingual Transfer of Debiasing and Detoxification in Multilingual LLMs: An Extensive Investigation. In W. Che, J. Nabende, E. Shutova, & M. T. Pilehvar (Eds.), The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) : Findings of the Association for Computational Linguistics: ACL 2025: ACL 2025 : July 27-August 1, 2025 (pp. 2805-2830). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.findings-acl.145 -
Ghaleb, E., Khaertdinov, B., Özyürek, A., & Fernández, R. (2025). I see what you mean: Co-Speech Gestures for Reference Resolution in Multimodal Dialogue. In W. Che, J. Nabende, E. Shutova, & M. T. Pilehvar (Eds.), The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) : Findings of the Association for Computational Linguistics: ACL 2025: ACL 2025 : July 27-August 1, 2025 (pp. 13191–13206). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.findings-acl.682 -
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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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 -
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 -
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 -
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 -
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 -
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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