ARCHITECTURE FOR GENERATING QA PAIRS FROM CONTEXTS

    公开(公告)号:US20250068855A1

    公开(公告)日:2025-02-27

    申请号:US18942853

    申请日:2024-11-11

    Abstract: The present invention relates to a context-based QA generation architecture for generating diverse QA pairs from a single context. The context-based QA generation architecture includes a latent variable generating network, an answer generating network and a question generating network. The latent variable generating network comprises multiple Bi-LSTM encoders encode the a first context, the a first question and the a first answer to generate a first context vector, a first question vector and a first answer vector, respectively, a first Multi-Layer Perceptron (MLP) generate a first question latent variable based on the first context vector and the first question vector, and a second MLP generate a first answer latent variable based on the first question latent variable and the first answer vector. The answer generating network and the question generating network are trained based on the first context, the first question latent variable and the first answer latent variable.

    Apparatus and method for processing image

    公开(公告)号:US12236596B2

    公开(公告)日:2025-02-25

    申请号:US18602661

    申请日:2024-03-12

    Abstract: As an aspect of the present disclosure, a method of processing an image may be proposed. The method is a method of processing an image, which is performed by an electronic device including one or more processors and one or more memories in which instructions to be executed by the one or more processors are stored, and may include obtaining a first mixed image of a sample including a first biomolecule labeled with a first fluorescent material and a second biomolecule that has not been labeled, obtaining a second mixed image of the sample including the first biomolecule labeled with the first fluorescent material and the second biomolecule labeled with a second fluorescent material, and generating an unmixed image of the second biomolecule based on the first mixed image and the second mixed image.

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