SpecSearch speeds up tree-search LLM reasoning by drafting thoughts with a small model, rejecting low-quality thoughts with a PRM-based threshold, and correcting them with a large model, achieving up to 2.12x speedup over token-level speculative decoding.
M., Kraaikamp, C., Lopuha \"a , H
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Accelerating Large Language Model Reasoning via Speculative Search
SpecSearch speeds up tree-search LLM reasoning by drafting thoughts with a small model, rejecting low-quality thoughts with a PRM-based threshold, and correcting them with a large model, achieving up to 2.12x speedup over token-level speculative decoding.