Abstract: Systems and methods for training a visual question answer model include training a teacher model by performing image conditional visual question generation on a visual language model (VLM) and a targeted visual question answer dataset using images to generate question and answer pairs. Unlabeled images are pseudolabeled using the teacher model to decode synthetic question and answer pairs for the unlabeled images. The synthetic question and answer pairs for the unlabeled images are merged with real data from the targeted visual question answer dataset to generate a self-augmented training set. A student model is trained using the VLM and the self-augmented training set to return visual answers to text queries.

Abstract: A computer system for integrating trading account security with associate investment policy (AIP) governance is provided. The system includes a processor and a receiver. A received trade request may include an associate social security number, an associate name, a security name, a last security purchase data, and a broker dealer name. The employee may be a private side employee. The processor may use a series of containers in electronic communication with a database or database engine to determine that the trade request is industry compliant and employer regulations compliant. When the trade request is determined to be non-compliant, then the processor may electronically message or e-mail the employee 1) a trade denial and 2) insider trading mitigation messages. Following a determination that the trade request is fully compliant; the processor may transmit the trade request to an employer trading platform and prompt the associate to execute the trade request.

Abstract: A system for integrating trading account security with associate investment policy (AIP) governance is provided, including a processor and a receiver for receiving an associate trade request. The trade request may include an associate social security number and name, a name of a security, a last security purchase data, the last data for the security, and a broker dealer name. The processor may determine that the employee is a private side employee and then use a series of containers in electronic communication with a database or engine to determine industry and employer regulations compliance, after which the processor may transmit the request to an employer trading platform and may include an instruction to allow executing the trade request within a pre-determined time period and prompting the associate with a selectable option to execute the trade request.

Abstract: A system for integrating trading account security with associate investment policy (AIP) governance is provided. The system includes a processor, a receiver, and a series of containers. The receiver may receive an associate trade request including an associate social security number (SSN), an associate name, a name of a security to which the trade request is directed, a last security purchase data, the last security purchase data associated with the security, and a broker dealer name. The employee may be a private side employee. The system may include a series of containers for storing microservices. The containers communicate with a database engine. The trade request may be industry compliant and employer regulations compliant. The processor may transmit a fully compliant trade request to an employer platform. Following receipt of a trade request confirmation from the employer platform, the associate trading platform may execute the trade request.

Abstract: A method and fabrication correction system for correcting fabrication in a document receives an input document from a user and identifies a reference document based on one of a plurality of categories of the input document from reference document database. The fabrication correction system detects fabrication in input document based on a predefined machine learning technique, by comparing one or more parameters associated with the input document with corresponding one or more parameters of the reference document and determines fabricated regions in the input document and a type of the fabrication in each of the one or more fabricated regions, based on one or more predefined techniques. Thereafter, one or more actions is performed in each of the one or more fabricated regions based on the type of the fabrication and the reference document, upon receiving a user input, for correcting the one or more fabricated regions.

Abstract: A method and fabrication correction system for correcting fabrication in a document receives an input document from a user and identifies a reference document based on one of a plurality of categories of the input document from reference document database. The fabrication correction system detects fabrication in input document based on a predefined machine learning technique, by comparing one or more parameters associated with the input document with corresponding one or more parameters of the reference document and determines fabricated regions in the input document and a type of the fabrication in each of the one or more fabricated regions, based on one or more predefined techniques. Thereafter, one or more actions is performed in each of the one or more fabricated regions based on the type of the fabrication and the reference document, upon receiving a user input, for correcting the one or more fabricated regions.