1. Information Title: Editable Neural Networks Link: Editable Training Paper Source: International Conference on Learning Representations (ICLR) Date: 2020.04.01 2. Summary 这篇论文提出了一种新方法，称为 Editable Tr

1. Information Title: Memory-assisted prompt editing to improve GPT-3 after deployment Link: MemPrompt Paper Source: Empirical Methods in Natural Language Processing (EMNLP) Date: 2022.01.16 2. Summar

1. Information Title: MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions Link: MeLLo Paper Source: Empirical Methods in Natural Language Processing (EMNLP) Date: 2023.05.24

1. Information Title: Transformer-Patcher: One Mistake worth One Neuron Link: T-Patcher Paper Source: International Conference on Learning Representations Date: 2023.01.24 2. Summary 本文提出了一个名为 Transfo

1. Information Title: Calibrating Factual Knowledge in Pretrained Language Models Link: CaliNET Paper Source: Empirical Methods in Natural Language Processing (EMNLP) Date: 2022.10.07 2. Summary 本文提出了

1. Information Title: Editing Factual Knowledge in Language Models Link: KE Paper Source: Empirical Methods in Natural Language Processing (EMNLP) Date: 2021.04.16 2. Summary 本文提出了一种名为 KNOWLEDGEEDITOR

1. Information Title: Can We Edit Multimodal Large Language Models? Link: MMEdit Paper Source: Empirical Methods in Natural Language Processing (EMNLP) Date: 2023.10.12 2. Summary 论文提出了一个新的基准 MMEdit，用

1. Information Title: Can We Edit Factual Knowledge by In-Context Learning? Link: IKE Paper Source: Empirical Methods in Natural Language Processing (EMNLP) Date: 2023.05.22 2. Summary 本文探讨了利用上下文学习 （I

1. Information Title: Memory-Based Model Editing at Scale Link: SERAC Paper Source: International Conference on Machine Learning (ICML) Date: 2022.06.13 2. Summary 本文提出了一个新的模型编辑方法 —— SERAC（Semi-Parame

1. Information Title: FAST MODEL EDITING AT SCALE Link: MEND Paper Source: International Conference on Learning Representations (ICLR) Date: 2021.10.21 2. Summary 本文介绍了一种名为模型编辑网络与梯度分解 MEND（Model Edito