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News/Re-calibrated Contrastive Loss for Transformation-Aware Prompt Conditioning in Vision-Language Models
arxiv
PublishedSeptember 10, 2026 at 4:00 AM

Re-calibrated Contrastive Loss for Transformation-Aware Prompt Conditioning in Vision-Language Models

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arXiv:2609.06967v1 Announce Type: cross Abstract: Ensuring effective transfer learning for vision-language models without compromising their generalization performance is crucial. However, many existing methods overlook data characteristics and simply reuse the training strategies adopted during pre

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