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Results: 134
Number of items: 134
  • Open Access
    Huang, J.-H., Zhu, H., Shen, Y., Rudinac, S., & Kanoulas, E. (2025). Image2Text2Image: A Novel Framework for Label-Free Evaluation of Image-to-Text Generation with Text-to-Image Diffusion Models. In I. Ide, I. Kompatsiaris, C. Xu, K. Yanai, W.-T. Chu, N. Nitta, M. Riegler, & T. Yamasaki (Eds.), MultiMedia Modeling: 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, January 8–10, 2025 : proceedings (Vol. IV, pp. 413-427). (Lecture Notes in Computer Science; Vol. 15523). Springer. https://doi.org/10.1007/978-981-96-2071-5_30
  • Open Access
    Voorveld, H., Panteli, A., Schirris, Y., Ischen, C., Kanoulas, E., & Lentz, T. (2025). Examining the persuasiveness of text and voice agents: prosody aligned with information structure increases human-likeness, perceived personalisation and brand attitude. Behaviour and Information Technology, 44(12), 2913-2928. https://doi.org/10.1080/0144929X.2024.2420871
  • Open Access
    Pal, V. (2025). Information seeking over semi-structured tabular data. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Askari, A., Petcu, R., Meng, C., Aliannejadi, M., Abolghasemi, A., Kanoulas, E., & Verberne, S. (2025). SOLID: Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking Dialogs. In L. Chiruzzo, A. Ritter, & L. Wang (Eds.), Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics : Proceedings of the Conference : Findings: NAACL 2025 : April 29-May 4, 2025 (pp. 6390–6410). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.findings-naacl.357
  • Open Access
    Vrolijk, J. (2025). Mapping the labour landscape: Ontology learning in the digital era. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Tudjarski, S., Gusev, M., & Kanoulas, E. (2025). Transformer-based heart language model with electrocardiogram annotations. Scientific Reports, 15, Article 5522. https://doi.org/10.1038/s41598-024-84270-x
  • Bhargav, S., Arguello, J., Diaz, F., Mitra, B., & Kanoulas, E. (2024, August 23). TREC-ToT 2024 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13367366
  • Bhargav, S., Arguello, J., Diaz, F., Mitra, B., & Kanoulas, E. D. (2024, August 25). TREC-ToT 2024 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13370657
  • Bhargav, S., Arguello, J., Diaz, F., Mitra, B., & Kanoulas, E. (2024, May 13). TREC-ToT 2024 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11185090
  • Open Access
    Pal, V., Kanoulas, E., Yates, A., & de Rijke, M. (2024). Table Question Answering for Low-resourced Indic Languages. In Y. Al-Onaizan, M. Bansal, & Y.-N. Chen (Eds.), The 2024 Conference on Empirical Methods in Natural Language Processing : Proceedings of the Conference: EMNLP 2024 : November 12-16, 2024 (pp. 75-92). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.emnlp-main.5
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