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Towards principled knowledge editing methods for large language model reasoning

Ningyu Zhang Yunzhi Yao Jiaxin Qin Hao-Ming Xu Yuqi Zhu Zeping Yu Mengru Wang Yuqi Tang Jia-Chen Gu Shumin Deng Huajun Chen
Aug 2026 · Nature Machine Intelligence · Vol 8, pp. 1189 - 1200 · 0 citations · 98 references

TL;DR

It is argued that effective knowledge editing must account for the intricate nature of knowledge representation, and three promising research directions are proposed that respect the complexity of knowledge representation in a real-world setting.

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