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title

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STIC: Enhancing LVLMs with Self-Training on Image Comprehension

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site name

author

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2026-01-23 19:49:37

raw text

STIC: Enhancing LVLMs with Self-Training on Image Comprehension More Research SPIN ๐Ÿ”ฅ RaR ๐Ÿ”ฅ MathVista ๐Ÿ”ฅ ScienceQA ๐Ÿ”ฅ Chameleon ๐Ÿ”ฅ LLaMA-Adapter (V2) ๐Ÿ”ฅ STIC: Enhancing LVLMs with Self-Training on Image Comprehension Yihe Deng * 1 , Pan Lu * 1 , 3 , Fan Yin 1 , Ziniu Hu 1 , Sheng Shen 2 , James Zou 3 , Kai-Wei Chang 1 , Wei Wang 1 1 University of California, Los Angeles, 2 University of California, Berkeley, 3 Stanford University * Equal Contribution Paper arXiv Code ๐Ÿค— Hugging Face ๐Ÿค— Data ๐Ÿค— Model Framework overview of STIC , a two-stage self-training algorithm focusing on the image comprehension capability of the LVLMs . In Stage 1 , the base LVLM self-constructs its preference dataset for image description using well-designed prompts, poorly-designed prompts, and distorted images. In Stage 2 , a small portion of the previously used supervised fine-tuning (SFT) data is rec...

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