Abstract: Deep learning powers critical applications such as autonomous driving, healthcare, and finance, where the correctness of underlying libraries is essential. Bugs in widely used deep learning ...

Abstract: To address the limitations of current Retrieval-Augmented Generation (RAG) systems in handling structured table data—specifically, incomplete information extraction and low retrieval ...