Synthetic SFT Data
收藏arXiv2025-09-30 收录
下载链接:
https://github.com/GAIR-NLP/thinking-with-generated-images
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资源简介:
该数据集经过精心策划,旨在让大型多模态模型通过生成视觉思维、批判和改进,来进行长时间的多模态推理。该数据集包含了多种提示语和生成的图片,以支持复杂的视觉推理任务,同时采用了多种最先进的模型来进行图像生成和批判。具体任务包括带有中间视觉子目标和自我批判的图像生成。
This meticulously curated dataset is designed to enable large multimodal models to conduct long-duration multimodal reasoning by generating visual thoughts, critiques and revisions. It contains diverse prompts and generated images to support complex visual reasoning tasks, and leverages multiple state-of-the-art models for image generation and critique. Specific tasks include image generation with intermediate visual sub-goals and self-critique.



