Meet ‘DRESS’: A Large Vision Language Model (LVLM) that Align and Interact with Humans via Natural Language Feedback

Big vision-language models, or LVLMs, can interpret visual cues and provide easy replies for users to interact with. This is accomplished by skillfully fusing large language models (LLMs) with large-scale visual instruction finetuning. Nevertheless, LVLMs only need hand-crafted or LLM-generated datasets for alignment by supervised fine-tuning (SFT). Although it works well to change LVLMs from […]

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