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Found 2 papers, 1 papers with code
Genixer: Empowering Multimodal Large Language Models as a Powerful Data Generator
Instruction tuning data is essential for training the Multimodal Large Language Models (MLLMs).
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels
Experiments on 19 visual transfer learning downstream tasks demonstrate that our SCT outperforms full fine-tuning on 18 out of 19 tasks by adding only 0. 11M parameters of the ViT-B, which is 780$\times$ fewer than its full fine-tuning counterpart.
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