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This is a Quantitative Study study.

September 18, 2025Open Access

A Multimodal AI System: Comparing LLMs and Theorem Proving Systems

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Authors

PBPhillip G. Bradford HOHenry OrphysGreenwich Hospital DUDmitry UdlerFordham University

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Implication

This research demonstrates how multimodal AI systems use LLMs and theorem proving for legal reasoning, suggesting a new approach to understanding their relationship.

Key Points

The results show an equivalence between laws in theorem-proving logic and new semantics derived from LLMs.
Using the downward and upward L"owenheim–Skolem theorems, we contrast how syntax and semantics interact in AI systems.
A rule-based first-order logic theorem-proving system is employed for legal reasoning, assisted by LLMs for natural language translation.
Findings indicate that user input semantics may differ from those encoded in the theorem-proving system, affecting reasoning.

Cite This Study

Bradford et al. (2025) studied this question.

synapsesocial.com/papers/68d463db31b076d99fa62b85 https://doi.org/10.20944/preprints202507.1895.v2

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Implication

This research demonstrates how multimodal AI systems use LLMs and theorem proving for legal reasoning, suggesting a new approach to understanding their relationship.

A Multimodal AI System: Comparing LLMs and Theorem Proving Systems

Discussion

Member takes

Implication

Key Points

Cite This Study

A Multimodal AI System: Comparing LLMs and Theorem Proving Systems

Discussion

Member takes

Implication

Key Points

Cite This Study

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