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Ditch fixed-length decoding for diffusion-based ASR: confidence-based thresholds unlock autoregressive accuracy with diffusion-level parallelism.
Achieve more reliable and temporally coherent proactive responses in streaming video understanding by modeling activation signals jointly over a sliding temporal window with a masked diffusion module.