June 5, 2024, 4:51 a.m. | Zhuoyang Li, Liran Deng, Hui Liu, Qiaoqiao Liu, Junzhao Du

cs.CL updates on arXiv.org arxiv.org

arXiv:2406.02110v1 Announce Type: new
Abstract: OwnThink stands as the most extensive Chinese open-domain knowledge graph introduced in recent times. Despite prior attempts in question answering over OwnThink (OQA), existing studies have faced limitations in model representation capabilities, posing challenges in further enhancing overall accuracy in question answering. In this paper, we introduce UniOQA, a unified framework that integrates two complementary parallel workflows. Unlike conventional approaches, UniOQA harnesses large language models (LLMs) for precise question answering and incorporates a direct-answer-prediction process …

abstract accuracy arxiv capabilities challenges chinese cs.ai cs.cl domain domain knowledge framework graph knowledge knowledge graph language language models large language large language models limitations prior question question answering representation studies type

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