AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction
Published in ACL 2026, 2026
AutoGraph-R1 uses reinforcement learning to optimize knowledge graph construction for downstream graph-based retrieval-augmented generation.
ACL Anthology · PDF · DOI
Recommended citation: Hong Ting Tsang, Jiaxin Bai, Haoyu Huang, Qiao Xiao, Tianshi Zheng, Baixuan Xu, Shujie Liu, and Yangqiu Song. 2026. AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction. Proceedings of ACL 2026, 23351–23374.
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