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Jun-Lin Wu

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2026

Tiper: Tokenwise Prompt-Free Learning

Vision-language models (VLMs), such as contrastive language-image pre-training (CLIP), exhibit powerful zero-shot generalization capabilities. Parameter-efficient fine-tuning (PEFT) techniques, notably prompt learning, have been extensively explored to adapt these models to downstream tasks. However, their efficacy rem...

Tengfei Gong, Jun-Lin Wu, Yaxioong Chen et al. · 0 citations

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