From Tokens to Steps: Verification-Aware Speculative Decoding for Efficient Multi-Step Reasoning
Researchers introduce SpecGuard, a speculative decoding framework that improves LLM inference speed by verifying draft model outputs at the reasoning-step level using internal model signals rather than external reward models, reducing latency and computational overhead.
MentionsSpecGuard · speculative decoding
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