arxiv
PublishedSeptember 4, 2026 at 4:00 AM
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TEVI: Text-Conditioned Editing of Visual Representations via Sparse Autoencoders for Improved Vision-Language Alignment
Publisher summary· verbatim
arXiv:2606.07451v2 Announce Type: replace-cross Abstract: 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 hy
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Originally published on arxiv ↗