most citedEnhancing textual textbook question answering with large language models and retrieval augmented generation

41 citations · 41 across the 3 of their papers we have counts for

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cs.CL2025

Evaluating Multimodal Large Language Models on Educational Textbook Question Answering

Hessa A. Alawwad, Anas Zafar, Areej Alhothali +3

Multimodal large language models (MLLMs) have shown success in vision-language tasks, but their ability to reason over complex educational materials remains largely untested. This…

cs.CL2024★ 41 cited

Enhancing textual textbook question answering with large language models and retrieval augmented generation

Hessa Abdulrahman Alawwad, Areej Alhothali, Usman Naseem +2

Textbook question answering (TQA) is a challenging task in artificial intelligence due to the complex nature of context needed to answer complex questions. Although previous resear…