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News/Rethinking Contrastive Loss in CLIP Post-training: A Complementary Framework with Frozen Text Encoder
arxiv
PublishedOctober 13, 2026 at 4:00 AM

Rethinking Contrastive Loss in CLIP Post-training: A Complementary Framework with Frozen Text Encoder

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arXiv:2610.11374v2 Announce Type: replace-cross Abstract: CLIP serves as a foundational vision-language model and the de facto vision encoder for downstream VLMs such as LLaVA. Post-training offers a lightweight route to refine CLIP, but recent work argues that the standard contrastive loss is unsui

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