AGS uses the ratio of attention to image tokens vs text tokens to switch multimodal LLMs between latent and explicit reasoning, improving accuracy and cutting decoding steps.
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Balancing Efficiency and Efficacy: Training-Free Attention-Guided Switching Between Explicit and Latent Thoughts for MLLMs
AGS uses the ratio of attention to image tokens vs text tokens to switch multimodal LLMs between latent and explicit reasoning, improving accuracy and cutting decoding steps.