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AlignedNorm
AlignedNorm studies process generalization in prompt learning by modeling adaptation as a Coupled Prompt Field and stabilizing it through two-level norm alignment.
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AlignedNorm: Prompting Vision–Language Models via Coupled Prompt Field
Published in International Conference on Machine Learning (ICML), 2026
AlignedNorm rethinks prompt learning for vision-language models as Coupled Prompt Field construction. By dynamically aligning prompt-token norms to the native scale of pretrained VLMs, it stabilizes task-agnostic coupling between base and new classes and improves generalization without external distillation or decoupled inference.
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