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Results: 44
Number of items: 44
  • Open Access
    Bavaresco, A., de Heer Kloots, M., Pezzelle, S., & Fernández, R. (2026). Vision-Language Models Align with Human Neural Representations in Concept Processing. In V. Demberg, K. Inui, & L. Marquez (Eds.), The 19th Conference of the European Chapter of the Association for Computational Linguistics : proceedings of the conference: EACL 2026 : March 24-29, 2026 (Vol. 1, pp. 3255-3274). Association for Computational Linguistics. https://doi.org/10.48550/arXiv.2407.17914, https://doi.org/10.18653/v1/2026.eacl-long.150
  • Open Access
    Nakajima, K., Zuiderveld, J., & Pezzelle, S. (2026). Beyond Divergent Creativity: A Human-Based Evaluation of Creativity in Large Language Models. In V. Demberg, K. Inui, & L. Marquez (Eds.), The 19th Conference of the European Chapter of the Association for Computational Linguistics : Findings of EACL 2026: FINDINGS 2026 : March 24-29, 2026 (pp. 2639-2660). Association for Computational Linguistics. https://doi.org/10.18653/v1/2026.findings-eacl.138
  • Open Access
    Hanna, M., Belinkov, Y., & Pezzelle, S. (2026). Are Formal and Functional Linguistic Mechanisms Dissociated in Language Models? Computational Linguistics, 52(1), 43–83. https://doi.org/10.1162/coli.a.24
  • Bavaresco, A., de Heer Kloots, M., Pezzelle, S., & Fernández, R. (2025, April 15). Modelling Multimodal Integration in Human Concept Processing with Vision-Language Models [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15221180
  • Open Access
    Bai, Y., & Pezzelle, S. (2025). If I feel smart, I will do the right thing: Combining Complementary Multimodal Information in Visual Language Models. In W. E. Zhang, X. Dai, D. Elliott, B. Fang, M. Sim, H. Zhuang, & W. Chen (Eds.), The Workshop of Evaluation of Multi-Modal Generation : proceedings of the First Workshop of Evaluation of Multi-Modal Generation: EvalMG 2025 : January, 2025 (pp. 24-39). Association for Computational Linguistics. https://aclanthology.org/2025.evalmg-1.3/
  • Surikuchi, A. K., Fernández, R., & Pezzelle, S. (2025). On the Challenges in Evaluating Visually Grounded Stories. In R. Campos, A. M. Jorge, A. Jatowt, S. Bhatia, & M. Litvak (Eds.), Proceedings of Text2Story — Eighth Workshop on Narrative Extraction From Texts: held in conjunction with the 47th European Conference on Information Retrieval (ECIR 2025) : Lucca, Italy, April 10, 2025 (pp. 215-223). Article 19 (CEUR Workshop Proceedings; Vol. 3964). CEUR-WS. https://ceur-ws.org/Vol-3964/paper19.pdf
  • Open Access
    Paci, W., Panunzi, A., & Pezzelle, S. (2025). They want to pretend not to understand: The Limits of Current LLMs in Interpreting Implicit Content of Political Discourse. 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. 15569-15593). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.findings-acl.804
  • 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
    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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