Paper Reveals LLM Structural Inability in Abductive Reasoning for Theorem Proving
LuizaJarovsky · x · 2026-07-31
This paper explores the boundaries of logical reasoning in modern Large Language Models (LLMs). The author points out that while an LLM could plausibly execute the deductive phase of proving theorems from established premises, it is structurally incapable of the abductive 'jump' required to formulate those premises.
This highlights a fundamental limitation in current AI models regarding complex theorem proving and advanced abstract thinking.
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