✨Test-Time Spectrum-Aware Latent Steering for Zero-Shot Generalization in Vision-Language Models
📝 Summary:
VLMs degrade under test-time domain shifts. Spectrum-Aware Test-Time Steering STS is a lightweight method that adapts VLM latent representations by steering them using textual embedding subspaces, without backpropagation. STS surpasses state-of-the-art, offering faster inference and less memory.
🔹 Publication Date: Published on Nov 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.09809
• PDF: https://arxiv.org/pdf/2511.09809
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#VisionLanguageModels #ZeroShotGeneralization #DomainAdaptation #DeepLearning #AI
📝 Summary:
VLMs degrade under test-time domain shifts. Spectrum-Aware Test-Time Steering STS is a lightweight method that adapts VLM latent representations by steering them using textual embedding subspaces, without backpropagation. STS surpasses state-of-the-art, offering faster inference and less memory.
🔹 Publication Date: Published on Nov 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.09809
• PDF: https://arxiv.org/pdf/2511.09809
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#VisionLanguageModels #ZeroShotGeneralization #DomainAdaptation #DeepLearning #AI