One target pass scores all draft tokens — but blind acceptance breaks the distribution
cneuralnetwork · x · 2026-10-22
Part four of the thread:
- The drafted sequence is fed to the target model; with causal masking, one forward pass yields the conditional probability p₁…pₖ of each proposed token given the correct prefix;
- The catch: drafts cannot be blindly accepted — q and p differ, so accepting as-is would change what the model actually generates.
Related event: Draft Model Proposes k Tokens, Verified in One Forward Pass(2 posts)→
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