2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CL2025★ 2 cited
VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents
Ryota Tanaka, Taichi Iki, Taku Hasegawa +3
We aim to develop a retrieval-augmented generation (RAG) framework that answers questions over a corpus of visually-rich documents presented in mixed modalities (e.g., charts, tabl…
cs.CV2024★ 1 cited
InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions
Ryota Tanaka, Taichi Iki, Kyosuke Nishida +2
We study the problem of completing various visual document understanding (VDU) tasks, e.g., question answering and information extraction, on real-world documents through human-wri…