Abstract: Financial document question answering (QA) needs accurate understanding across many documents, correct number reasoning, and fast inference. Existing retrieval-augmented generation (RAG) ...
Abstract: Visual Question Answering (VQA) serves as a bridge between computer vision and natural language processing, aiming to enable machines to achieve human-level understanding when observing ...
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