KLEVER model – Keywords & Labels, LLM Evaluation, Verified by Expert Review

KLEVER model – Keywords & Labels, LLM Evaluation, Verified by Expert Review. KLEVER is a three-stage LLM-guided workflow in which expert-refined keywords isolate relevant records, dual LLMs validate category context, and binary/exemplar-based prompts classify the corpus. Final trigger keywords are clustered and labeled to form child categories, resulting in a structured, curated dataset. Available: Dataset In preparations: CodesKLEVER模型——基于关键词与标签、经专家评审验证的大语言模型（LLM）评估数据集。KLEVER是一个三阶段大语言模型驱动工作流：经专家精炼的关键词用于筛选相关记录，双大语言模型验证类别上下文，同时基于二元分类或示例提示对语料库进行分类。最终触发关键词将被聚类并标注以生成子类别，最终得到结构化的精选数据集。 已发布：数据集 开发中：配套代码