This is a preprint and may not have undergone formal peer review
Cohn, A.G. orcid.org/0000-0002-7652-8907 (2023) An Evaluation of ChatGPT-4's Qualitative Spatial Reasoning Capabilities in RCC-8. [Preprint]
Abstract
Qualitative Spatial Reasoning (QSR) is well explored area of Commonsense Reasoning and has multiple applications ranging from Geographical Information Systems to Robotics and Computer Vision. Recently many claims have been made for the capabilities of Large Language Models (LLMs). In this paper we investigate the extent to which one particular LLM can perform classical qualitative spatial reasoning tasks on the mereotopological calculus, RCC-8.
Metadata
Item Type: | Preprint |
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Authors/Creators: |
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Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Jan 2024 16:34 |
Last Modified: | 05 Jan 2024 16:34 |
Identification Number: | 10.48550/arXiv.2309.15577 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:206335 |
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