Abstract Document Question Answering (QA) presents a challenge in understanding visually-
rich documents (VRD), particularly with lengthy textual content. Existing studies primarily …

Large language models (LLMs) have demonstrated remarkable capabilities and have
attracted significant attention across diverse domains, including financial services. Despite …

Text-rich images have significant and extensive value, deeply integrated into various
aspects of human life. Notably, both visual cues and linguistic symbols in text-rich images …

Instructions for Build, Assembly, and Test (IBAT) refers to the process used whenever any
operation is conducted on hardware, including tests, assembly, and maintenance. Currently …

Document Question Answering (QA) presents a challenge in understanding visually-rich
documents (VRD), particularly those dominated by lengthy textual content like research …

In recent years, the challenge of extracting information from business documents has
emerged as a critical task, finding applications across numerous domains. This effort has …

Visually-Rich Documents (VRDs), encompassing elements like charts, tables, and
references, convey complex information across various fields. However, extracting …

Visually Rich Documents (VRDs) are potent carriers of multimodal information widely used
in academia, finance, medical fields, and marketing. Traditional approaches to extracting …

The research of Natural Language Processing (NLP) in Finance has experienced
considerable development driven by academia and industry. However, small benchmark …