作者位次 #4/8ACL 2026Poster· Natural Language Processing
A uto G raph- R 1: End-to-End Reinforcement Learning for Knowledge Graph Construction
Hong Ting Tsang · Jiaxin Bai · Haoyu Huang · Qiao Xiao · Tianshi Zheng · Baixuan Xu · Shujie LIU · Yangqiu Song
摘要
Building effective knowledge graphs (KGs) for Retrieval-Augmented Generation (RAG) is pivotal for advancing question answering (QA) systems. However, its effectiveness is hindered by a fundamental disconnect: the knowledge graph (KG) construction process is decoupled from its downstream applicati...