Concept-1K
收藏IEEE2026-04-17 收录
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资源简介：
Concept-1K is a novel dataset designed to facilitate research on incremental learning in large language models. It comprises 1,023 concepts represented as knowledge triplets, focusing on recently emerged topics to minimize data leakage. By providing a fine-grained approach to evaluating model performance, Concept-1K enhances the understanding of how these models learn and retain new information.
提供机构：
Zheng, Junhao相关数据集
暂无相关数据集
