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Results: 42
Number of items: 42
  • 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
  • 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
  • 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
    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
    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
    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/
  • 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
    Wildenburg, F., Hanna, M., & Pezzelle, S. (2024). Do Pre-Trained Language Models Detect and Understand Semantic Underspecification? Ask the DUST!. In L.-W. Ku, A. Martins, & V. Srikumar (Eds.), The 62nd Annual Meeting of the Association for Computational Linguistics : Findings of the Association for Computational Linguistics: ACL 2024: ACL 2024 : August 11-16, 2024 (pp. 9598-9613). Association for Computational Linguistics. https://doi.org/10.48550/arXiv.2402.12486, https://doi.org/10.18653/v1/2024.findings-acl.572
  • Open Access
    Takmaz, E. K. (2024). Visual and linguistic processes in deep neural networks: A cognitive perspective. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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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