arXiv:2501.02235

Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends

Camille Barboule, Benjamin Piwowarski, Yoan Chabot

제출 2025-01-04

원문 초록

Using Large Language Models (LLMs) for Visually-rich Document Understanding (VrDU) has significantly improved performance on tasks requiring both comprehension and generation, such as question answering, albeit introducing new challenges. This survey explains how VrDU models enhanced by LLMs function, covering methods for integrating VrD features into LLMs and highlighting key challenges.

함께 살펴볼 논문

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토론

이 논문과 연결된 포럼 글이 아직 없습니다.