Naver Proposes Verification-Aware Training to Boost Speculative Decoding Draft Models
naver-ai · hf · 2026-09-01
Naver AI released the paper Verification-Aware Training for Speculative Decoding.
- The method simulates sequential verification during training of draft models, aligning the training objective with the acceptance patterns seen at inference time.
- Loss weights are adapted to acceptance patterns, encouraging draft tokens that the target model is more likely to accept.
- Result: higher acceptance rates and better end-to-end speedups for speculative decoding.
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