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Large language models (LLMs) often produce incorrect or outdated information, necessitating efficient and precise knowledge updates.
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Xie, J., Zhang, K., Chen, J., Lou, R., and Su, Y · 2023
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Can we edit factual knowledge by in-context learning?
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Decoding by contrasting knowledge: Enhancing llms’ confidence on edited facts
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Model editing harms general abilities of large language models: Regularization to the rescue
Gu, J., Xu, H., Ma, J., Lu, P., Ling, Z., Chang, K., and Peng, N · 2024
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Huang, X., Wang, Y., Zhao, J., and Liu, K · 2024
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