2 papers
cs.CL2025
Towards Reliable and Interpretable Document Question Answering via VLMs
Alessio Chen, Simone Giovannini, Andrea Gemelli +2
Vision-Language Models (VLMs) have shown strong capabilities in document understanding, particularly in identifying and extracting textual information from complex documents. Despi…
cs.CL2025
BoundingDocs: a Unified Dataset for Document Question Answering with Spatial Annotations
Simone Giovannini, Fabio Coppini, Andrea Gemelli +1
We present a unified dataset for document Question-Answering (QA), which is obtained combining several public datasets related to Document AI and visually rich document understandi…