Search results
Results: 9
Number of items: 9
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Hoppe, F., Ilievski, F., & Kalo, J.-C. (2025). Investigating the Robustness of Deductive Reasoning with Large Language Models. In I. Lynce, N. Murano, M. Vallati, S. Villata, F. Chesani, M. Milano, A. Omicini, & M. Dastani (Eds.), ECAI 2025: 28th European Conference on Artificial Intelligence, 25-30 October2025, Bologna, Italy : including 14th Conference on Prestigious Applications of Intelligent Systems (PAIS 2025) : proceedings (pp. 1776-1783). (Frontiers in Artificial Intelligence and Applications; Vol. 413). IOS Press. https://doi.org/10.3233/FAIA251007 -
Krause, L., Baez Santamaria, S., & Kalo, J.-C. (2024). Graph Representations for Machine Translation in Dialogue Settings. In B. Haddow, T. Kocmi, P. Koehn, & C. Monz (Eds.), Ninth Conference on Machine Translation : Proceedings of the Conference: WMT 2024 : November 15-16, 2024 (pp. 1038-1046). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.wmt-1.106
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Buchner, V. L., Cao, L., Kalo, J.-C., & von Ehrenheim, V. (2024). Prompt Tuned Embedding Classification for Industry Sector Allocation. In Y. Yang, A. Davani, A. Sil, & A. Kumar (Eds.), Annual Conference of the North American Chapter of the Association for Computational Linguistics - Industry Track: Proceedings of the Conference (Industry) : NAACL 2024 : June 16-21, 2024 (pp. 108-118). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.naacl-industry.10
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Veseli, B., Razniewski, S., Kalo, J.-C., & Weikum, G. (2023). Evaluating the Knowledge Base Completion Potential of GPT. In H. Bouamor, J. Pino, & K. Bali (Eds.), The 2023 Conference on Empirical Methods in Natural Language Processing : Findings of the Association for Computational Linguistics: EMNLP 2023: December 6-10, 2023 (pp. 6432-6443). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-emnlp.426
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Kalo, J.-C., Singhania, S., Razniewski, S., & Pan, J. Z. (2023). LM-KBC 2023: 2nd Challenge on Knowledge Base Construction from Pre-trained Language Models. In S. Razniewski, J.-C. Kalo, S. Singhania, & J. Z. Pan (Eds.), Joint proceedings of the 1st workshop on Knowledge Base Construction from Pre-Trained Language Models (KBC-LM) and the 2nd challenge on Language Models for Knowledge Base Construction (LM-KBC): co-located with the 22nd International Semantic Web Conference (ISWC 2023) : Athens, Greece, November 6, 2023 Article 0 (CEUR Workshop Proceedings; Vol. 3577). CEUR-WS. https://ceur-ws.org/Vol-3577/paper0.pdf
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Pan, J. Z., Razniewski, S., Kalo, J.-C., Singhania, S., Chen, J., Dietze, S., Jabeen, H., Omeliyanenko, J., Zhang, W., Lissandrini, M., Biswas, R., Melo , G. D., Bonifati, A., Vakaj, E., Dragoni, M., & Graux, D. (2023). Large Language Models and Knowledge Graphs: Opportunities and Challenges. Transactions on Graph Data and Knowledge, 1(1), Article 2. https://doi.org/10.4230/TGDK.1.1.2
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BigScience Workshop, Le Scao, T., Kalo, J.-C., van der Wal, O., & Wang, B. (2023). BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. (v4 ed.) ArXiv. https://doi.org/10.48550/arXiv.2211.05100
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Alivanistos, D., Báez Santamaría, S., Cochez, M., Kalo, J.-C., van Krieken, E., & Thanapalasingam, T. (2022). Prompting as Probing: Using Language Models for Knowledge Base Construction. In S. Singhania, T.-P. Nguyen, & S. Razniewski (Eds.), Proceedings of the Semantic Web Challenge on Knowledge Base Construction from Pre-trained Language Models 2022: co-located with the 21st International Semantic Web Conference (ISWC2022) : virtual event, Hanghzou, China, October 2022 (pp. 11-34). (CEUR Workshop Proceedings; Vol. 3274). CEUR-WS. https://ceur-ws.org/Vol-3274/paper2.pdf
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