Unverified50% confidenceFactExact time
Greedy decoding selects the highest-probability token at each generation step, producing deterministic and reproducible output, suitable for evaluation and scenarios requiring stable formatting, but it lacks diversity and tends to generate repetitive or conservative text.
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50%
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Long-term
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10/12/2026
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VerifiedConstrained Decoding computes the set of valid tokens at each token step of autoregressive generation based on a finite state machine or context-free grammar and renormalizes the probabilities, mathematically guaranteeing that the output conforms to the target schema.72% similarUnverifiedPrefix caching improves inference efficiency by caching common prompt prefixes to reduce redundant computation.71% similarUnverifiedIn code generation scenarios, predictable patterns such as indentation, brackets, and repeated keywords are conducive to improving the acceptance rate of speculative decoding.70% similarUnverified投机解码主要优化TPOT（每Token生成耗时）指标，在低并发Memory-bound场景下将闲置算力转化为草稿验证的并行计算，单用户速率提升幅度显著69% similar
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