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Alexander Kunitsyn
sashakunitsyn
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Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation
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Introducing VLRM: Vision-Language Models act as Reward Models for Image Captioning Paper: https://arxiv.org/abs/2404.01911 Model weights and training logs: https://huggingface.co/sashakunitsyn/vlrm-blip2-opt-2.7b We propose VLRM, a method for fine-tuning an existing image captioning model using reinforcement learning and vision-language models as reward models. The method manages to significantly improve the generation quality without human-labeled data and is applicable to any image captioning model. Our model reaches impressive 0.90 R@1 CLIP Recall score on MS-COCO Carpathy Test Split.
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sashakunitsyn/vlrm-blip2-opt-2.7b
Image-to-Text
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4B
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Updated
Apr 3, 2024
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12
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19