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Exploring Mathemati...
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Johansson, Moa,1981Chalmers tekniska högskola,Chalmers University of Technology
(författare)
Exploring Mathematical Conjecturing with Large Language Models
- Artikel/kapitelEngelska2023
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LIBRIS-ID:oai:research.chalmers.se:863413fe-11c3-43db-9344-517faaf5a504
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https://research.chalmers.se/publication/537034URI
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Språk:engelska
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Sammanfattning på:engelska
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The task of automating the discovery of mathematical conjectures has so far primarily been addressed in symbolic systems. However, a neuro-symbolic architecture seems like an excellent fit for this task. We can assign the generative task to a neural system without much risk, even if a few non-theorems slip through, the results are checked afterwards using a symbolic theorem prover or counter-example finder. In this initial case-study, we investigate the capabilities of GPT-3.5 and GPT-4 on this task. While results are mixed, we see potential in improving on the weaknesses of purely symbolic systems. A neuro-symbolic theory exploration system could, for instance, add some more variation in conjectures over purely symbolic systems while not missing obvious candidates.
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Smallbone, Nicholas,1986Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)nicsma
(författare)
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Chalmers tekniska högskola
(creator_code:org_t)
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Ingår i:CEUR Workshop Proceedings3432, s. 62-771613-0073
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