SIGEval

「This interest group focuses on the evaluation of knowledge graphs and large models. We are committed to conducting detailed evaluation and optimization of scientific issues and technical challenges of knowledge graphs and large models within the OpenKG community by organizing open evaluation tasks, so as to promote the continuous progress and development of knowledge graphs and large model technologies.」

Contribution to the community:

「By organizing the OpenKG open evaluation, we will build an authoritative knowledge evaluation benchmark in the era of big models and promote the development of knowledge processing and intelligent technology.」

slogan:

「Challenging big models, expanding knowledge graphs, and the evaluation team helps with intelligent integration.」

加入兴趣小组联系人：

bisheng@seu.edu.cn

Principal

Members

Achievements

OneEval：大模型知识增强系统评测框架

近期重磅发布了大模型知识增强系统评测框架——OneEval，面向多维度、多场景系统性评估大模型的知识理解与生成能力。欢迎访问 OpenKG 评测排行榜（http://oneeval.openkg.cn/）查看最新评测结果与模型表现。

CCKS2023 Knowledge Graph Construction and Completion Evaluation in an Open Environment

Instruction-driven adaptive knowledge graph construction and inductive knowledge graph relationship reasoning