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Abstract: Prompt tuning is a valuable technique for adapting visual language models (VLMs) to different downstream tasks, such as domain generalization and learning from a few examples. Previous ...
Existing parameter-efficient fine-tuning (PEFT) methods have achieved significant success on vision transformers (ViTs) adaptation by improving parameter efficiency. However, the exploration of ...
CALF (Orignal name: LLaTA) is a novel cross-modal fine-tuing framework that effectively bridges the distribution discrepancy between temporal data and the textual nature of LLMs, as shown in Figure 1.
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