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Large language models (LLMs) have demonstrated remarkable capabilities, but updating their knowledge post-training remains a critical challenge.
Remembering: A study in experimental and social psychology
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MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
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Knowledge neurons in pretrained transformers
Damai Dai, Li Dong, Yaru Hao, Zhifang Sui, Baobao Chang, and Furu Wei. 2021 · 2021
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Editing factual knowledge in language models
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LoRA: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021 · 2021
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Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, and Christopher D Manning. 2021 · 2021
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Evan Hernandez, Belinda Z Li, and Jacob Andreas. 2023 · 2023
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Detecting edit failures in large language models: An improved specificity benchmark
Jason Hoelscher-Obermaier, Julia Persson, Esben Kran, Ioannis Konstas, and Fazl Barez. 2023 · 2023
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Evaluating dependencies in fact editing for language models: Specificity and implication awareness
Eva-kellm: A new benchmark for evaluating knowledge editing of llms
Suhang Wu, Minlong Peng, Yue Chen, Jinsong Su, and Mingming Sun. 2023 · 2023
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Does localization inform editing? surprising differences in causality-based localization vs. knowledge editing in language models
Peter Hase, Mohit Bansal, Been Kim, and Asma Ghandeharioun. 2024 · 2024
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Is it possible to edit large language models robustly?
Xinbei Ma, Tianjie Ju, Jiyang Qiu, Zhuosheng Zhang, Hai Zhao, Lifeng Liu, and Yulong Wang. 2024 · 2024
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What does the Knowledge Neuron Thesis Have to do with Knowledge?
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Long-form evaluation of model editing
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Easyedit: An easy-to-use knowledge editing framework for large language models
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Unveiling the pitfalls of knowledge editing for large language models
Zhoubo Li, Ningyu Zhang, Yunzhi Yao, Mengru Wang, Xi Chen, and Huajun Chen. 2023a
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