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arXiv · 2409.14038

OAEI-LLM: A Benchmark Dataset for Understanding Large Language Model Hallucinations in Ontology Matching

Zhangcheng Qiang·Kerry Taylor·Weiqing Wang·Jing Jiang
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Abstract

Hallucinations of large language models (LLMs) commonly occur in domain-specific downstream tasks, with no exception in ontology matching (OM). The prevalence of using LLMs for OM raises the need for benchmarks to better understand LLM hallucinations. The OAEI-LLM dataset is an extended version of the Ontology Alignment Evaluation Initiative (OAEI) datasets that evaluate LLM-specific hallucinations in OM tasks. We outline the methodology used in dataset construction and schema extension, and provide examples of potential use cases.

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Zhangcheng Qiang, Kerry Taylor, Weiqing Wang, Jing Jiang. 2024-09-21. OAEI-LLM: A Benchmark Dataset for Understanding Large Language Model Hallucinations in Ontology Matching. https://arxiv.org/abs/2409.14038

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