UniDocVLM: Enhancing Visual Reasoning and Document Understanding for VLM via Reinforcement Learning
UnicDocVLM is proposed, an end-to-end framework that unifies OCR and visual RAG within a single vision-language model: the model first generates a structured parse of retrieved pages, then activates question-relevant evidence from the parse to support grounded reasoning and answering.