Patent

Taint-aware, entropy-based set block decoding for language model-based token prediction

Intuit Inc.

US 12,755,110 B1GrantedGranted Oct 6, 2026Filed Mar 2, 2026

Certain aspects of the disclosure provide techniques for language model token prediction. A method generally includes processing an input token sequence to generate, for each respective token position of a plurality of token positions in an output token sequence: an entropy score based on a probability distribution for a set of candidate output tokens associated with the respective token position; and a taint score indicative of an extent to which the probability distribution is influenced by a untrusted subset of tokens of the input token sequence; for each respective token position, determining whether the entropy score satisfies an adjusted entropy threshold that is based on at least the taint score associated with the respective token position; based on the determination for each respective token position: performing a set block decoding operation; performing a single-token decoding…

Claims
20
2 independent claims
Filing to grant
0.6 years
Pendency
CPC classes
13
A01M · G06F · G06N

1ClaimsFirst of 20

  1. 1

    A method of token prediction, comprising: processing an input token sequence to generate, for each respective token position of a plurality of token positions in an output token sequence: an entropy score based on a probability distribution for a set of candidate output tokens associated with the respective token position, wherein the probability distribution comprises a probability score for each respective candidate output token in the set of candidate output tokens; and a taint score…

2Description

Field

Aspects of the present disclosure relate to language model-based token prediction.

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