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Results: 131
Number of items: 131
  • 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
    Yang, P. (2026). Bringing science to the public: The role of Wikipedia in scientific communication. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    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
  • Open Access
    Bavaresco, A., & Fernández, R. (2025). Experiential Semantic Information and Brain Alignment: Are Multimodal Models Better than Language Models? In G. Boleda, & M. Roth (Eds.), The 29th Conference on Computational Natural Language Learning (CoNLL 2025) : Proceedings of the Conference: CoNLL 2025 : July 31-August 1, 2025 (pp. 141-155). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.conll-1.10
  • 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
    Qi, J., Chen, S., Xiong, Z., Fernández, R., Bitterman, D. S., & Bisazza, A. (2025). When Models Reason in Your Language: Controlling Thinking Language Comes at the Cost of Accuracy. In C. Christodoulopoulos, T. Chakraborty, C. Rose, & V. Peng (Eds.), The 2025 Conference on Empirical Methods in Natural Language Processing : Findings of EMNLP 2025: EMNLP 2025 : November 4-9, 2025 (pp. 20279–20296). Association for Computational Linguistics. https://aclanthology.org/2025.findings-emnlp.1103/
  • Open Access
    Zhang, Z. (2025). Advancing vision and language models through commonsense knowledge, efficient adaptation and transparency. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Qi, J., Fernández, R., & Bisazza, A. (2025). On the Consistency of Multilingual Context Utilization in Retrieval-Augmented Generation. In D. I. Adelani, C. Arnett, D. Ataman, T. A. Chang, H. Gonen, R. Raja, F. Schmidt, D. Stap, & J. Wang (Eds.), The 5th Workshop on Multilingual Representation Learning (MRL 2025) : proceedings of the workshop: MRL 2025 : November 8-9, 2025 (pp. 199–225). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.mrl-main.15
  • Open Access
    Testoni, A., Plank, B., & Fernández, R. (2025). RAcQUEt: Unveiling the Dangers of Overlooked Referential Ambiguity in Visual LLMs. In C. Christodoulopoulos, T. Chakraborty, C. Rose, & V. Peng (Eds.), The 2025 Conference on Empirical Methods in Natural Language Processing : Proceedings of the Conference: EMNLP 2025 : November 4-9, 2025 (pp. 23627–23647). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.emnlp-main.1206
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