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

Thomas Eiter, Nelson Higuera Ruiz, Johannes Oetsch
Jun 3, 2026 at 04:00
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arXiv:2606.03269v1 Announce Type: new Abstract: Visual Question Answering (VQA) is the task of answering questions about images, requiring the integration of multimodal input and reasoning. Modular approaches that incorporate logic-based representations into the reasoning component offer clear advantages over end-to-end trained systems,...

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