April 17, 2024, 4:46 a.m. | Chenggian Ma, Xiangyu Zhao, Chunhui Zhang, Yanzhao Qin, Wentao Zhang

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.10500v1 Announce Type: new
Abstract: With the development of Large Language Models (LLM), numerous prompts have been proposed, each with a rich set of features and their own merits. This paper summarizes the prompt words for large language models (LLMs), categorizing them into stimulating and framework types, and proposes an Auto-Prompt Graphical Paradigm(APGP) that combines both stimulating and framework prompts to enhance the problem-solving capabilities of LLMs across multiple domains, then exemplifies it with a framework that adheres to this …

abstract arxiv auto cs.ai cs.cl designing development features framework language language models large language large language models llm llms paper paradigm prompt prompts set them the prompt type types words

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