AI RESEARCH
DocCogito: Aligning Layout Cognition and Step-Level Grounded Reasoning for Document Understanding
arXiv CS.CV
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ArXi:2603.07494v1 Announce Type: new Document understanding with multimodal large language models (MLLMs) requires not only accurate answers but also explicit, evidence-grounded reasoning, especially in high-stakes scenarios. However, current document MLLMs still fall short of forming a complete, human-like reasoning process, because even when they improve both layout encoding and CoT-style prompting, the interaction between the two is typically learned implicitly and remains loosely coupled rather than being enforced as a systematic mechanism.