Arbitrage is a novel speculative decoding technique that accelerates LLM reasoning by avoiding unnecessary token rejections. The method uses advantage-aware speculation to verify semantically equivalent steps rather than strict token-level matches, significantly reducing computational overhead during long Chain-of-Thought generation. This approach helps developers lower inference latency and costs for complex reasoning tasks without sacrificing model output quality.
Opening Kapyn…