Feb. 23, 2024, 5:43 a.m. | Hang Li, Tianlong Xu, Chaoli Zhang, Eason Chen, Jing Liang, Xing Fan, Haoyang Li, Jiliang Tang, Qingsong Wen

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.14601v1 Announce Type: cross
Abstract: The recent surge in generative AI technologies, such as large language models and diffusion models, have boosted the development of AI applications in various domains, including science, finance, and education. Concurrently, adaptive learning, a concept that has gained substantial interest in the educational sphere, has proven its efficacy in enhancing students' learning efficiency. In this position paper, we aim to shed light on the intersectional studies of these two methods, which combine generative AI with …

abstract ai applications ai technologies applications arxiv concept cs.ai cs.cy cs.hc cs.lg development diffusion diffusion models domains education educational finance generative language language models large language large language models science sphere technologies type

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