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Test-Time Spectrum-Aware Latent Steering for Zero-Shot Generalization in Vision-Language Models

arXiv — cs.LG•Friday, November 14, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
The introduction of Spectrum-Aware Test-Time Steering (STS) marks a significant advancement in Vision-Language Models (VLMs), particularly in addressing challenges posed by domain shifts during inference. STS's lightweight adaptation framework not only enhances performance but also aligns with trends in multimodal communication systems, as seen in the Vision-Language Feature-Based Multimodal Semantic Communication (VLF-MSC) system. Both approaches emphasize the importance of efficient representation transmission, supporting image and text generation. Furthermore, the efficiency gains from STS, including faster inference speeds and reduced memory usage, resonate with ongoing efforts to optimize diffusion models, highlighting a broader movement towards improving computational efficiency in AI applications.
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