Visual document understanding is essential for acquiring knowledge from visually rich documents and is attracting growing research interest. Existing surveys emphasize architectures or technical approaches, with limited attention to how task bottlenecks shape technical choices and research priorities. We present a task...
Yu-Fei Tong, Guan-Jie Cheng, Tian-Le Wu et al.· 0 citations
This work presents FAVA (Formal Authorization for Verified Agents), a permission-carrying authorization framework for agent execution that utilizes an LLM-guided Permission Intermediate Representation to translate ambiguous natural-language tasks into structured constraints.
Yifan Zhang, Xin-Kui Zhao, Sai-Da Liu et al.· arXiv.org· 3 citations
This work proposes ViSAGE, a multimodal agentic memory framework that constructs self-correcting, entity-centric memories and applies bidirectional memory refinement to propagate delayed identity evidence, retroactively unifying historical records and improving future reasoning.