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Found 5 papers, 3 papers with code
InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions
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-written instructions.
SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images
Visual question answering on document images that contain textual, visual, and layout information, called document VQA, has received much attention recently.
VisualMRC: Machine Reading Comprehension on Document Images
In this study, we introduce a new visual machine reading comprehension dataset, named VisualMRC, wherein given a question and a document image, a machine reads and comprehends texts in the image to answer the question in natural language.
Machine Reading Comprehension
Natural Language Understanding
+2
Fact-based Dialogue Generation with Convergent and Divergent Decoding
Fact-based dialogue generation is a task of generating a human-like response based on both dialogue context and factual texts.
An Ensemble Dialogue System for Facts-Based Sentence Generation
This study aims to generate responses based on real-world facts by conditioning context and external facts extracted from information websites.
