March 5, 2024, 2:43 p.m. | Yezeng Chen, Zui Chen, Yi Zhou

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.00800v1 Announce Type: cross
Abstract: Although large language models demonstrate emergent abilities in solving math word problems, there is a challenging task in complex multi-step mathematical reasoning tasks. To improve model performance on mathematical reasoning tasks, previous work has conducted supervised fine-tuning on open-source models by improving the quality and quantity of data. In this paper, we propose a novel approach, named Brain, to imitate human thought processes to enhance mathematical reasoning abilities, using the Frontal Lobe Model to generate …

arxiv brain brain-inspired cs.ai cs.cl cs.lg human mathematical reasoning processes reasoning stage thought type

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