Enhancing Textbook Question Answering Task with Large Language Models and Retrieval Augmented Generation

Textbook question answering (TQA) is a challenging task in artificial intelligence due to the complex nature of context and multimodal data. Although previous research has significantly improved the task, there are still some limitations including the models' weak reasoning and inability to capture contextual information in the lengthy context. The introduction of large language models (LLMs) has revolutionized the field of AI, however, directly applying LLMs often leads to inaccurate answers. This paper proposes a methodology that handle the out-of-domain …

artificial artificial intelligence context cs.ai cs.cl data information intelligence language language models large language large language models limitations multimodal multimodal data nature question question answering reasoning research retrieval retrieval augmented generation textbook