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Locating and Editing Factual Associations in GPT

Neural Information Processing Systems, 2022
We analyze the storage and recall of factual associations in autoregressive transformer language models, finding evidence that these associations correspond to localized, directly-editable computations.
Kevin Meng   +3 more
semanticscholar   +1 more source

MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing

IEEE International Conference on Computer Vision, 2023
Despite the success in large-scale text-to-image generation and text-conditioned image editing, existing methods still struggle to produce consistent generation and editing results.
Ming Cao   +5 more
semanticscholar   +1 more source

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