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Results: 40
Number of items: 40
  • 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
    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
    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
  • 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
  • Open Access
    Testoni, A., Sprott, J., & Pezzelle, S. (2024). Naming, Describing, and Quantifying Visual Objects in Humans and LLMs. 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. 547-557). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.acl-short.50
  • Open Access
    Mehrparvar, B., & Pezzelle, S. (2024). Detecting and Translating Language Ambiguity with Multilingual LLMs. In J. Sälevä, & A. Owodunni (Eds.), The 4th Workshop on Multilingual Representation Learning : proceedings of the workshop: MRL 2024 : November 16, 2024 (pp. 310–323). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.mrl-1.26
  • Open Access
    Takmaz, E. K. (2024). Visual and linguistic processes in deep neural networks: A cognitive perspective. [Thesis, fully internal, Universiteit van Amsterdam].
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