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Distilling Answer-Set Programming Rules from LLMs for Neurosymbolic Visual Question Answering

arXiv cs.AI · 2026-06-03 Cached

This paper presents a method for distilling answer-set programming rules from large language models to enhance neurosymbolic visual question answering, showing that only a few examples are needed to generate correct rules.

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