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

Distilling Answer-Set Programming Rules from LLMs for Neurosymbolic Visual Question Answering 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, particularly in terms of interpretability. However, adapting or ex