Unverified70% confidenceFactTime unknown
The 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.
2
Sources
70%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
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Related Claims
UnverifiedHard constraints in the decoding phase physically guarantee that outputs conform to predefined grammar or schemas by masking illegal vocabulary options during token generation (logit masking or structured sampling).77% similarUnverifiedIn mainstream LLM engineering contexts, Constrained Decoding refers to forcing the model at inference time via logit masking to only output token sequences that conform to a specific grammar or schema, with representative tools including Outlines, XGrammar, Guidance, and others.77% similarVerifiedConstrained decoding dynamically blocks candidate words that do not conform to the target grammar or schema when the model generates each token, ensuring the output structure is legal at the decoding level.73% similarUnverified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72% similarUnverifiedGrammar-constrained decoding filters out token candidates that do not conform to the target format in real time during model generation, making it physically impossible for the model to output incorrectly formatted content, but it still cannot eliminate semantic errors.72% similar
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