May 14, 2024, 4:49 a.m. | James Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi

cs.CL updates on arXiv.org arxiv.org

arXiv:2405.06650v1 Announce Type: new
Abstract: Developing domain models is one of the few remaining places that require manual human labor in AI planning. Thus, in order to make planning more accessible, it is desirable to automate the process of domain model generation. To this end, we investigate if large language models (LLMs) can be used to generate planning domain models from simple textual descriptions. Specifically, we introduce a framework for automated evaluation of LLM-generated domains by comparing the sets of …

arxiv cs.ai cs.cl domain generators language language models large language large language models planning type

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