T-SciQ: Teaching multimodal Chain-of-Thought reasoning via large language model signals for science question answering

• Main Authors: WANG, Lei, HU, Yi, HE, Jiabang, XU, Xing, LIU, Ning, LIU, Hui, SHEN, Heng Tao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Complex problems; High quality; Language model; Language processing; Model signals; Multi-modal; Multimodal chains; Natural languages; Artificial Intelligence and Robotics; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/8756; https://ink.library.smu.edu.sg/context/sis_research/article/9759/viewcontent/29884_Article_Text_33938_1_2_20240324_pvoa.pdf
• Institution: Singapore Management University

Large Language Models (LLMs) have recently demonstrated exceptional performance in various Natural Language Processing (NLP) tasks. They have also shown the ability to perform chain-of-thought (CoT) reasoning to solve complex problems. Recent studies have explored CoT reasoning in complex multimodal...