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MCPO: Modality-Contrastive Preference Optimization for Multimodal Chain-of-Thought Compression
Recently, multimodal large-scale reasoning models have demonstrated remarkable capabilities in solving complex tasks through long Chains-of-Thought (M-CoT). However, excessively long reasoning trajectories incur substantial computational costs and significant KV-cache pressure. Existing CoT compress
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