ORCA
Online Research @ Cardiff
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Kumar, Nitesh  ORCID: https://orcid.org/0000-0002-9301-3876, Chatterjee, Usashi and Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881
2025.
Extracting conceptual spaces from LLMs using prototype embeddings.
Presented at: Findings of EMNLP,
Suzhou, China,
4-9 November 2025.
Published in: Christodoulopoulos, Christos, Chakraborty, Tanmoy, Rose, Carolyn and Peng, Violet eds.
Findings of the Association for Computational Linguistics: EMNLP 2025.
Suzhou, China:
Association for Computational Linguistics,
pp. 9275-9298.
10.18653/v1/2025.findings-emnlp.493
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Kumar, Nitesh ORCID: https://orcid.org/0000-0002-9301-3876, Chatterjee, Usashi and Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881
2024.
Ranking entities along conceptual space dimensions with LLMs: An analysis of fine-tuning strategies.
Presented at: The 62nd Annual Meeting of the Association for Computational Linguistics,
Bangkok, Thailand,
11-16 August 2024.
Published in: Ku, Lun-Wei, Martins, Andre and Srikumar, Vivek eds.
Findings of the Association for Computational Linguistics ACL 2024.
Association for Computational Linguistics,
pp. 7974-7989.
10.18653/v1/2024.findings-acl.474
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Kumar, Nitesh ORCID: https://orcid.org/0000-0002-9301-3876, Kuzelka, Ondrej and De Raedt, Luc
2023.
First-order context-specific likelihood weighting in hybrid probabilistic logic programs.
Journal of Artificial Intelligence Research
77
, pp. 683-735.
10.1613/jair.1.13657
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Kumar, Nitesh and Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881
2023.
Solving hard analogy questions with relation embedding chains.
Presented at: Conference on Empirical Methods in Natural Language Processing, EMNLP,
Singapore,
6-10 December 2023.
Published in: Bouamor, Houda, Pino, Juan and Bali, Kalika eds.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.
Association for Computational Linguistics,
6224–6236.
10.18653/v1/2023.emnlp-main.382
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Kumar, Nitesh ORCID: https://orcid.org/0000-0002-9301-3876, Kuželka, Ondřej and De Raedt, Luc
2022.
Learning distributional programs for relational autocompletion.
Theory and Practice of Logic Programming
22
(1)
, pp. 81-114.
10.1017/S1471068421000144
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Kumar, Nitesh ORCID: https://orcid.org/0000-0002-9301-3876 and Kuželka, Ondřej
2021.
Context-specific likelihood weighting.
Presented at: The 24th International Conference on Artificial Intelligence and Statistics,
Virtual,
13 -15 April 2021.
Published in: Banerjee, Arindam and Fukumizu, Kenji eds.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS) 2021.
Proceedings of Machine Learning Research.
, vol.130
ML Research Press,
pp. 2125-2133.
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Zuidberg Dos Martires, Pedro, Kumar, Nitesh ORCID: https://orcid.org/0000-0002-9301-3876, Persson, Andreas, Loutfi, Amy and De Raedt, Luc
2020.
Symbolic learning and reasoning with noisy data for probabilistic anchoring.
Frontiers in Robotics and AI
7
, 100.
10.3389/frobt.2020.00100
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