May 1, 2024, 4:47 a.m. | Wei Chen, Zhiyuan Li

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.19296v1 Announce Type: new
Abstract: Language models have been effective in a wide range of applications, yet the most sophisticated models are often proprietary. For example, GPT-4 by OpenAI and various models by Anthropic are expensive and consume substantial energy. In contrast, the open-source community has produced competitive models, like Llama3. Furthermore, niche-specific smaller language models, such as those tailored for legal, medical or financial tasks, have outperformed their proprietary counterparts. This paper introduces a novel approach that employs \textit{functional …

arxiv cs.cl graph language language models type

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