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Results: 129
Number of items: 129
  • 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
  • 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
    Neplenbroek, V., Bisazza, A., & Fernández, R. (2025). Reading Between the Prompts: How Stereotypes Shape LLM’s Implicit Personalization. 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. 20367-20400). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.emnlp-main.1029
  • 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
    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
  • 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
    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
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