The paper questions the effectiveness of direct model editing for correcting factual errors in language models. It suggests alternative approaches such as retrieval-based architectures, concept erasure methods, and attribution methods, and emphasizes the need for cautious use of model editing in language model deployment.

https://arxiv.org/abs//2310.11958

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