The research team from Zhejiang University and the East China Sea Laboratory has proposed an easy-to-use knowledge editing framework for LLMs — EasyEdit. This framework supports a variety of knowledge editing methods and can be easily applied to numerous LLMs. The paper introduces the structure of the EasyEdit framework and its key metrics, and through experiments, it demonstrates that it surpasses traditional fine-tuning methods in terms of reliability and generalization. This research is of significant importance for enhancing the knowledge editing capabilities of large language models.
Zhejiang University's New AI Model Research: Easily Acquire 'World Knowledge', Better Than Traditional Fine-Tuning

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