Unverified50% confidenceFactExact time
Lafa designs a self-speculative decoding scheme that uses flow-based drafts for autoregressive verification within a single model, requiring no additional draft model parameters or memory overhead.
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10/21/2026
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VerifiedSpeculative decoding is a lossless acceleration technique that does not alter the model's output distribution; it uses a draft model with far fewer parameters than the target model to generate candidate tokens, which the target model then verifies in parallel.70% similarUnverifiedSpeculative decoding generates drafts with a small model and verifies them in batch with a large model; mathematically it guarantees output fully consistent with the large model through rejection sampling, making it lossless acceleration69% similarVerifiedSpeculative Decoding uses a small, fast draft model to predict multiple tokens in advance, which are then verified in parallel all at once by the large model.69% similarVerifiedCompared to speculative decoding, MTP's predictive capability is built into the model itself, requiring no additional draft model.68% similarUnverifiedIn this benchmark, every model receives exactly the same prompt and binary file, and models may choose between tool-assisted and tool-free modes.68% similar
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