Unverified50% confidenceFactExact time
结构化输出通过约束解码（Constrained Decoding）在token采样阶段屏蔽非法输出，使LLM格式输出从概率保证变为确定性保证
1
Sources
50%
Confidence
Long-term
Relevance
7/17/2026
First Seen
Sources
Related Claims
UnverifiedConstrained Decoding guarantees at the sampling level that outputs will conform to a specified JSON Schema or regular expression; typical open-source implementations include Outlines, Guidance, and LM Format Enforcer.75% similarUnverifiedConstrained 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.73% similarUnverifiedThe core method of grammar-constrained decoding is to use a context-free grammar (CFG) to filter out illegal token options during the model's token-by-token output generation, setting the logits of illegal tokens to negative infinity.72% similarUnverifiedOpen-source frameworks such as Outlines, llama.cpp's grammar sampling, and vLLM's guided decoding provide constrained decoding capabilities.69% similarUnverified受限解码在保证格式正确性的同时，可能改变模型实际采样分布，导致语义质量的次优选择69% similar
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