Changeflow GovPing Telecom & Technology Oracle Patent US12608586B2 - PSDP Auto Composing
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Oracle Patent US12608586B2 - PSDP Auto Composing

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Summary

Oracle International Corporation has been granted US Patent 12,608,586 B2 for a parameter sharing decoder pair (PSDP) architecture for auto composing using transformer-based language models. The patent, filed October 30, 2020, claims 14 claims and reduces model parameters while maintaining the ability to generate understandable compositions. The CPC classifications span neural networks (G06N 3/04–3/084) and natural language processing (G06F 40/56).

“Techniques for auto composing using a transformer-based language model having a parameter sharing decoder pair (PSDP) that reduces a number of parameters of the model and maintains the capability of generating understandable and reasonable compositions.”

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GovPing monitors USPTO Patent Grants - AI & Computing (G06N) for new telecom & technology regulatory changes. Every update since tracking began is archived, classified, and available as free RSS or email alerts — 32 changes logged to date.

What changed

Oracle International Corporation has received US Patent 12,608,586 B2, titled 'Parameter sharing decoder pair for auto composing.' The invention relates to transformer-based language models using a PSDP architecture where a first decoder's parameters are shared across all N layers and a second decoder's parameters are shared across all N layers, with the two decoders having different parameters. The model predicts sequence elements from a full encoder sequence to generate an output sequence distinct from the input.

Affected parties include technology companies developing transformer-based language models and auto-composition systems. The patent grants Oracle exclusive rights to the PSDP technique, which may be relevant for competitors designing similar parameter-efficient transformer architectures. Organizations engaged in language model development should review this patent to assess whether their products or research implicate the claimed methods.

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Apr 23, 2026

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← USPTO Patent Grants

Parameter sharing decoder pair for auto composing

Grant US12608586B2 Kind: B2 Apr 21, 2026

Assignee

Oracle International Corporation

Inventors

Xu Zhao

Abstract

Techniques for auto composing using a transformer-based language model having a parameter sharing decoder pair (PSDP) that reduces a number of parameters of the model and maintains the capability of generating understandable and reasonable compositions. In one particular aspect, a method is provided that includes obtaining a full encoder sequence, and inputting the full encoder sequence into a transformer model having a PSDP. The PSDP includes: a first decoder having parameters that are shared across all N layers of the first decoder; and a second decoder having parameters that are shared across all N layers of the first decoder. The parameters of the first decoder are different from the parameters of the second decoder. The method further includes using the transformer model to predict sequence elements based on the full encoder sequence, generate an output sequence comprising the sequence elements, and output an output sequence different from the full encoder sequence.

CPC Classifications

G06N 3/04 G06N 3/063 G06N 3/044 G06N 3/045 G06N 3/084 G06F 40/56

Filing Date

2020-10-30

Application No.

17086271

Claims

14

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Classification

Agency
USPTO
Published
April 21st, 2026
Instrument
Rule
Branch
Executive
Legal weight
Binding
Stage
Final
Change scope
Minor
Document ID
US12608586B2

Who this affects

Applies to
Technology companies
Industry sector
5112 Software & Technology
Activity scope
Patent grant Language model development AI research
Geographic scope
United States US

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Artificial Intelligence Software & Technology

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