Verified75% confidenceFactExact time
Constrained 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.
3
Sources
75%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
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Related Claims
UnverifiedConstrained decoding tools such as Outlines and Guidance allow models to be forced at inference time to produce text conforming to a specific grammar or schema, but potentially at the cost of some generation quality.80% 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.80% similarVerifiedConstrained 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.80% similarVerifiedConstrained 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.80% 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77% similar
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