Youtor
CriticV VLM Critics Help Catch VLM Errors in Multimodal Reasoning
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=NnbaZrpi9gY
Paper: https://arxiv.org/pdf/2411.18203 • NotebookLM: https://notebooklm.google.com/noteboo... • Summary • The paper introduces Critic-V, a novel framework enhancing Vision-Language Model (VLM) multimodal reasoning. Critic-V integrates a Reasoner, generating reasoning paths, and a Critic, offering natural language critiques to refine these paths, improving accuracy. The Critic is trained using Direct Preference Optimization (DPO) on a large-scale multimodal dataset with critiques ranked by a Rule-based Reward (RBR) system. Experiments demonstrate Critic-V's superior performance across multiple benchmarks compared to existing methods, particularly in complex reasoning tasks. The framework's effectiveness stems from the combination of a dynamic text-based Reasoner policy and the constructive feedback from the preference-optimized Critic.
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