Beyond Parallel Blindness: Information Floors and Model Gaps in Block Drafting

📅 2026-08-27
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🤖 AI Summary
研究通过引入信息底限和模型差距,区分并分析了块起草中信息缺失和建模不完善的问题,揭示了局部条件的重要性和当前模型的改进空间。
📝 Abstract
Block drafters propose several tokens in one forward pass, before earlier target tokens are realised. Their rejection mixes two losses: missing within-block path information and imperfect modelling of observable information. Accepted length cannot distinguish them. We separate the two with an information floor, the minimum expected rejection at a specified conditioning order; rejection above this floor is the model gap. Estimating both from target rollouts across four domains, four open-weight targets, and a frontier API target yields three findings. First, the all-parallel floor reaches $0.286$ at the final slot on Qwen3-4B, limiting even the best proposal to $71\%$ per-slot acceptance. Second, one realised token removes $86$--$100\%$ of this floor, a locality also recovered by an independent mutual-information analysis. Third, current drafters remain far above their floors: the final-slot model gap accounts for $43$--$64\%$ of DFlash rejection and $85$--$92\%$ of DSpark's oracle-conditioned rejection. These findings separate the value of short-range conditioning from proposal quality.
Problem

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block drafting
information floor
model gap
Innovation

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information floor
model gap
block drafting
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