The Mercurial Top-Level Ontology of Large Language Models

arXiv:2405.01581v1 Announce Type: new
Abstract: In our work, we systematize and analyze implicit ontological commitments in the responses generated by large language models (LLMs), focusing on ChatGPT 3.5 as a case study. We investigate how LLMs, despite having no explicit ontology, exhibit implicit ontological categorizations that are reflected in the texts they generate. The paper proposes an approach to understanding the ontological commitments of LLMs by defining ontology as a theory that provides a systematic account of the ontological commitments …

abstract analyze arxiv case case study chatgpt cs.ai cs.cl generated language language models large language large language models llms ontology responses study type work