Search results
Results: 9
Number of items: 9
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Allen, B. P., Chhikara, P., Ferguson, T. M., Ilievski, F., & Groth, P. (2025). Sound and Complete Neurosymbolic Reasoning with LLM-Grounded Interpretations. Proceedings of Machine Learning Research, 284, 392-419. https://proceedings.mlr.press/v284/allen25a.html -
Allen, B. (2024, January 26). zero-shot-classifiers-for-conceptual-engineering: Initial release [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10573957
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Allen, B. P., Polat, F., & Groth, P. (2024). SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination Detection. In A. K. Ojha, A. S. Doğruöz, H. T. Madabushi, G. Da San Martino, S. Rosenthal, & A. Rosá (Eds.), The 18th International Workshop on Semantic Evaluation (SemEval-2024) : proceedings of the workshop: SemEval 2024 : June 20-21, 2024 (pp. 839-844). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.semeval-1.120
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Simperl, E., Groth, P., Staab, S., Sabou, M., Blomqvist, E., & Allen, B. (2023). Knowledge Engineering with Language Models and Neural Methods. Dagstuhl Reports, 12(9), 93-96. https://doi.org/10.4230/DagRep.12.9.60
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Allen, B. P., Ilievski, F., & Joshi, S. (2023). Identifying and Consolidating Knowledge Engineering Requirements. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2306.15124
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Allen, B. P. (2023). Conceptual Engineering Using Large Language Models. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2312.03749
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Allen, B. P., Stork, L., & Groth, P. (2023). Knowledge Engineering using Large Language Models. Transactions on Graph Data and Knowledge, 1(1), Article 3. https://doi.org/10.4230/TGDK.1.1.3
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Allen, B. P. (2023). A Brief History of Knowledge Engineering: A Practitioner’s Perspective. Dagstuhl Reports, 12(9), 65-72. https://doi.org/10.4230/DagRep.12.9.60
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