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The Hong Kong Polytechnic University
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Continuous latent visual representations can drastically improve multimodal reasoning efficiency and performance, outpacing traditional discrete output methods.
RCA boosts contextual faithfulness in LLMs by amplifying relevant signals without increasing computational costs or altering attention distributions.
