Unverified70% confidenceFactExact time
Structured output applies constraints to the model's token sampling via constrained decoding, typically based on finite-state automata (FSA) or context-free grammars (CFG).
2
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70%
Confidence
Long-term
Relevance
9/7/2026
First Seen
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Related Claims
UnverifiedThe underlying implementation of constrained decoding relies on finite state machines (FSM) or context-free grammars (CFG).79% similarUnverifiedConstrained decoding relies on finite state machines (FSM) or pushdown automata to express the complete set of valid outputs, pre-compiling the schema into a state transition graph.76% 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.76% similarUnverifiedConstrained decoding dynamically filters the vocabulary through external logic at each token generation step, allowing only grammatically valid tokens to be sampled; common implementations include Outlines, LMQL, and the json_schema response format built into inference engines.75% 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.74% similar
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