Automatic report population with machine learning models
OwnerSeyed Navid Roohani Isfahani, Matthew F. Schmidt +2inventors
InventorsSeyed Navid Roohani Isfahani, Matthew F. Schmidt, Nirav Narendra Dedhiya, Shreyas Shivaram Shastry
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Abstract
Provided are systems and methods for automatic ingestion and generation of reports. In particular, some example implementations can include and use one or more machine-learned sequence processing models such as large language models (LLMs) and large multimodal models (LMMs) to process a data file that depicts prior renderings of reports.
Claims23
A computer-implemented method for automatic generation of reports, the method comprising:
- obtaining, by a computing system comprising one or more computing devices, a data file associated with a prior instance of a report or report type;
- processing, by the computing system, the data file with one or more machine-learned sequence processing models to generate template report structure data as an output of the one or more machine-learned sequence processing models, wherein the template report structure data defines a template structure of the report or report type;
- retrieving, by the computing system, one or more data records from a datastore based on a user input;
- and
- processing, by the computing system, the template report structure data and the retrieved one or more data records with the one or more machine-learned sequence processing models to generate populated report data as an output of the one or more machine-learned sequence processing models, wherein the populated report data comprises a new instance of the report or report type that is structured according to the template report structure data and populated according to the one or more data records.
A computing system for automatic generation of reports, the computing system comprising:
- a report ingestion system configured to:
- obtain a data file associated with a prior instance of a report;
- and
- process the data file with one or more machine-learned sequence processing models to generate template report structure data as an output of the one or more machine-learned sequence processing models, wherein the template report structure data defines a template structure of the report or report type;
- a data retrieval system configured to retrieve one or more data records from a datastore based on a user input;
- and
- a report completion system configured to process the template report structure data and the retrieved one or more data records with the one or more machine-learned sequence processing models to generate populated report data as an output of the one or more machine-learned sequence processing models, wherein the populated report data comprises a new instance of the report or report type that is structured according to the template report structure data and populated according to the one or more data records.
Dependencies are inferred from the claim text.