公开(公告)号：US20230077528A1

公开(公告)日：2023-03-16

申请号：US17805191

申请日：2022-06-02

Applicant: Hyperconnect Inc.

Inventor： Enkhbayar Erdenee ,  Beom Su Kim ,  Seok Jun Seo ,  Sang Il Ahn ,  Bu Ru Chang ,  Seung Ju Han

IPC: G10L15/06 ,  G10L15/16

Abstract: A training method of a conversation model according to various example embodiments of the present disclosure may include identifying a first context, identifying a first response set corresponding to the first context based on a first model, identifying a response subset selected from the first response set based on a gold response corresponding to the first context and training a second model based on the first context information and the response subset.

公开(公告)号：USD1029868S1

公开(公告)日：2024-06-04

申请号：US35516356

申请日：2022-08-24

Applicant: HYPERCONNECT INC.

Designer： Beom Su Kim ,  Seung Ju Han ,  Enkhbayar Erdenee ,  Seok Jun Seo ,  Jin Yong Yoo ,  Yeon Woo Lee ,  Sang Bum Kim ,  Su Hyun Lee ,  Se Yeon Oh ,  Sun Young Bae

Abstract: The patent or application file contains at least one drawing executed in color. Copies of this patent or patent application publication with color drawing(s) will be provided by the Office upon request and payment of the necessary fee.
1. Display screen or portion thereof with graphical user interface
1 : Front
Reproduction 1 is a front view of a display screen or portion thereof with graphical user interface showing our new design; the outer perimeter shown in a pair of broken lines in the reproduction illustrates a display screen or portion thereof and forms no part of the claimed design; the dot-dash broken lines define boundaries of the claimed design and form no part thereof.

公开(公告)号：US20230229864A1

公开(公告)日：2023-07-20

申请号：US18051429

申请日：2022-10-31

Applicant: Hyperconnect Inc.

Inventor： Beom Su Kim ,  Bu Ru Chang ,  Seung Ju Han

IPC: G06F40/35 ,  G06F40/56

CPC classification number: G06F40/35 ,  G06F40/56

Abstract: Provided is an apparatus for evaluating and improving responses, and a method and a computer readable recording medium thereof. The apparatus for evaluating responses according to the present disclosure obtains cluster classifying information for training responses, and based on distribution of clusters to which test responses output from the dialogue generation model are classified, evaluate semantic diversity of the responses output from the dialogue generation model.

公开(公告)号：US20230229964A1

公开(公告)日：2023-07-20

申请号：US18051430

申请日：2022-10-31

Applicant: Hyperconnect Inc.

Inventor： Beom Su Kim ,  Bu Ru Chang ,  Seung Ju Han

IPC: G06N20/00 ,  G06F40/35

CPC classification number: G06N20/00 ,  G06F40/35

Abstract: Provided is an apparatus for evaluating and improving responses, and a method and a computer readable recording medium thereof. The apparatus for evaluating responses according to the present disclosure obtains cluster classifying information for training responses, and based on distribution of clusters to which test responses output from the dialogue generation model are classified, evaluate semantic diversity of the responses output from the dialogue generation model.

公开(公告)号：US20230154453A1

公开(公告)日：2023-05-18

申请号：US18046455

申请日：2022-10-13

Applicant: Hyperconnect Inc.

Inventor： Enkhbayar Erdenee ,  Beom Su Kim ,  Sang Bum Kim ,  Seok Jun Seo ,  Jin Yong Yoo ,  Bu Ru Chang ,  Seung Ju Han

IPC: G10L15/02 ,  G06F40/20

CPC classification number: G10L15/02 ,  G06F40/20

Abstract: Systems and techniques to generate imitative responses are illustrated. response generation method performed in an electronic apparatus of the present disclosure includes acquiring at least one piece of utterance data, acquiring a first context corresponding to the utterance data from a context candidate set, generating one or more dialogue sets including the first context and the utterance data, receiving a second context from a user, and acquiring a response corresponding to the second context using a language model based on the one or more dialogue sets.

公开(公告)号：US20230080930A1

公开(公告)日：2023-03-16

申请号：US17807653

申请日：2022-06-17

Applicant: Hyperconnect Inc.

Inventor： Seok Jun Seo ,  Seung Ju Han ,  Beom Su Kim ,  Bu Ru Chang ,  Enkhbayar Erdenee

IPC: G06N5/02 ,  G06F40/35

Abstract: Disclosed is a method of training a dialogue model in an electronic device, the method including selecting a first context from a first dialogue data set including at least one pair of a context and a response corresponding to the context, generating a first response corresponding to the first context through a first dialogue model, generating an augmented dialogue dataset by incorporating a pair of the first context and the first response corresponding to the first context into the first dialogue data set, and training a second dialogue model based on the augmented dialogue dataset.

公开(公告)号：US11443134B2

公开(公告)日：2022-09-13

申请号：US17004733

申请日：2020-08-27

Applicant: Hyperconnect Inc.

Inventor： Sang Il Ahn ,  Sung Joo Ha ,  Dong Young Kim ,  Beom Su Kim ,  Martin Kersner

IPC: G06K9/62 ,  G06N3/08

Abstract: A method of performing a convolutional operation in a convolutional neural network includes: obtaining input activation data quantized with a first bit from an input image; obtaining weight data quantized with a second bit representing a value of a parameter learned through the convolutional neural network; binarizing each of the input activation data and the weight data to obtain a binarization input activation vector and a binarization weight vector; performing an inner operation of the input activation data and weight data based on a binary operation with respect to the binarization input activation vector and the binarization weight vector and distance vectors having the same length as each of the first bit and the second bit, respectively; and storing a result obtained by the inner operation as output activation data.

公开(公告)号：US20220207368A1

公开(公告)日：2022-06-30

申请号：US17646466

申请日：2021-12-29

Applicant: Hyperconnect, Inc.

Inventor： Sang Il Ahn ,  Joon Young Yi ,  Beom Su Kim ,  Bu Ru Chang

IPC: G06N3/08 ,  G06F5/01 ,  G06F17/16

Abstract: A method of training a neural network model for predicting a click-through rate (CTR) of a user in an electronic device includes normalizing an embedding vector on the basis of a feature-wise linear transformation parameter, and inputting the normalized embedding vector into a neural network layer, wherein the feature-wise linear transformation parameter is defined such that the same value is applied to all elements of the embedding vector.

公开(公告)号：US20210064920A1

公开(公告)日：2021-03-04

申请号：US17004733

申请日：2020-08-27

Applicant: HYPERCONNECT, INC.

Inventor： Sang Il Ahn ,  Sung Joo Ha ,  Dong Young Kim ,  Beom Su Kim ,  Martin Kersner

IPC: G06K9/62 ,  G06N3/08

Abstract: A method of performing a convolutional operation in a convolutional neural network includes: obtaining input activation data quantized with a first bit from an input image; obtaining weight data quantized with a second bit representing a value of a parameter learned through the convolutional neural network; binarizing each of the input activation data and the weight data to obtain a binarization input activation vector and a binarization weight vector; performing an inner operation of the input activation data and weight data based on a binary operation with respect to the binarization input activation vector and the binarization weight vector and distance vectors having the same length as each of the first bit and the second bit, respectively; and storing a result obtained by the inner operation as output activation data.