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Verbalization creates a performance bottleneck in LLM collaboration with non-language agents, but latent state internalization can bridge this gap, enabling superior task performance.
Hallucinations in diffusion models can be reduced by up to 25% without sacrificing image quality, thanks to a novel score modulation technique.
