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Exploring DocAlone: Visual Reasoning Challenges
This chapter investigates the key tasks addressed by the DocAlone model in visual reasoning over documents, emphasizing information extraction, visual question answering, classification, and tabular reasoning. It outlines the complexities of training language models for document comprehension and discusses the challenges of handling different data forms, especially tabular data. Additionally, the chapter highlights architectural choices and future considerations for integrating visual components, while acknowledging the importance of prompt engineering and instruction tuning in enhancing model performance.