DARE reuses up to 87% of attention activations in diffusion LLMs through KV caching and output reuse, delivering 1.2x per-layer latency gains with average performance drops of 1.2-2.0%.
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Safety-Aware Denoiser integrates safety guidance into the denoising steps of text diffusion models to reduce unsafe generations while maintaining quality.
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DARE: Diffusion Language Model Activation Reuse for Efficient Inference
DARE reuses up to 87% of attention activations in diffusion LLMs through KV caching and output reuse, delivering 1.2x per-layer latency gains with average performance drops of 1.2-2.0%.
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The Safety-Aware Denoiser for Text Diffusion Models
Safety-Aware Denoiser integrates safety guidance into the denoising steps of text diffusion models to reduce unsafe generations while maintaining quality.