arXiv (OAI Expanded)
open access
TEVI: Text-Conditioned Editing of Visual Representations via Sparse Autoencoders for Improved Vision-Language Alignment
artificial-intelligencecomputation-and-languagecomputer-vision-and-pattern-recognitionmachine-learning
Vision-language models such as CLIP are highly useful for diverse tasks due to their shared image-text embedding space. Despite this, the image and text embeddings are often poorly aligned, affecting downstream performance. Recent work has hypothesized that this can be attributed to an information i
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