AI RESEARCH
MineDraft: A Framework for Batch Parallel Speculative Decoding
arXiv CS.AI
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ArXi:2603.18016v1 Announce Type: cross Speculative decoding (SD) accelerates large language model inference by using a smaller draft model to propose draft tokens that are subsequently verified by a larger target model. However, the performance of standard SD is often limited by the strictly sequential execution of these drafting and verification stages. To address this, this paper proposes MineDraft, a batch parallel speculative decoding (PSD) framework designed to effectively hide drafting latency by overlapping it with verification.