公开(公告)号：US20240338862A1

公开(公告)日：2024-10-10

申请号：US18749461

申请日：2024-06-20

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Jiachen LIU ,  Xinyan XIAO ,  Hua WU ,  Guohao LI ,  Wei LI ,  Hong ZHU ,  Qiaoqiao SHE ,  Yajuan LV

IPC: G06T11/00 ,  G06F40/35

CPC classification number: G06T11/00 ,  G06F40/35

Abstract: A method is provided that includes: obtaining current dialogue data; determining a requirement type of the user in the current round of dialogue based on the current dialogue data; in response to the requirement type being an image processing requirement, determining an action sequence for implementing the image processing requirement; executing the action sequence to generate a target image; and generating response data corresponding to the user input data based on the target image.

公开(公告)号：US20230217406A1

公开(公告)日：2023-07-06

申请号：US18174771

申请日：2023-02-27

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Jiatu WEN ,  Wei LI

IPC: H04W64/00

CPC classification number: H04W64/003

Abstract: The present disclosure provides a signal processing method and apparatus, a device, and a storage medium. The method includes: acquiring a signal set to be processed that carries base station information and base station access time; determining a first signal subset that further carries position information in the signal set to be processed; determining position information of a base station of a first type deployed in a subway station according to the base station information and the position information that are carried by the signal of the first signal subset; and determining position information of a base station of a second type deployed in a subway tunnel according to the position information of the base station of the first type, and the base station information and base station access time that are carried by the signal of the signal set to be processed.

公开(公告)号：US20230070349A1

公开(公告)日：2023-03-09

申请号：US18048944

申请日：2022-10-24

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Xi CHEN ,  Guangdi SHAN ,  Wei LI ,  Fangsheng JIANG ,  Hailu JIA

IPC: G01S19/47 ,  G01S19/43

Abstract: A positioning method includes: receiving detection data sent by a positioning device, in which the detection data includes first satellite data of multiple satellites; determining prediction noise of each satellite based on the first satellite data, and determining a weight of each satellite based on the prediction noise; and determining a position of the positioning device based on the weight and observation equations.

公开(公告)号：US20230004589A1

公开(公告)日：2023-01-05

申请号：US17577561

申请日：2022-01-18

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Wenhao WU ,  Wei LI ,  Xinyan XIAO ,  Jiachen LIU

IPC: G06F16/34 ,  G06F40/51 ,  G06F40/56

Abstract: The present disclosure provides a summary generation model training method and apparatus, a device and a storage medium, and relates to the field of computer technologies, and in particular, to the field of artificial intelligence such as natural language processing and deep learning. The summary generation model training method includes: acquiring a document representation corresponding to a document sample; constructing, based on the document representation, a summary representation corresponding to the document representation, the summary representation including a positive summary representation and a negative summary representation; and constructing a total contrastive loss function based on the document representation, the positive summary representation and the negative summary representation, and training a summary generation model based on the total contrastive loss function. The present disclosure may improve accuracy of the summary generation model.

公开(公告)号：US20240362493A1

公开(公告)日：2024-10-31

申请号：US18770122

申请日：2024-07-11

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Yixuan SHI ,  Wei LI ,  Jiachen LIU ,  Xinyan XIAO

IPC: G06N3/092 ,  G06N3/045 ,  G06N3/0475 ,  G06N3/09 ,  G06T11/00

CPC classification number: G06N3/092 ,  G06N3/045 ,  G06N3/0475 ,  G06N3/09 ,  G06T11/00

Abstract: A method is provided that includes: obtaining a first Text-to-Image model and a pre-trained reward model, wherein the first Text-to-Image model is used to generate a corresponding image based on input text, and the pre-trained reward model is used to score a data pair composed of the input text and the corresponding generated image; and adjusting the parameters of the first Text-to-Image model based on the pre-trained reward model and a reinforcement learning policy to obtain a second Text-to-Image model.

公开(公告)号：US20220292269A1

公开(公告)日：2022-09-15

申请号：US17502108

申请日：2021-10-15

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Guocheng NIU ,  Wei LI ,  Can GAO ,  Xinyan XIAO ,  Hua WU

IPC: G06F40/58 ,  G06F40/47 ,  G06F40/205

Abstract: The present disclosure discloses a method and apparatus for acquiring a pre-trained model, and relates to natural language processing and deep learning technologies in the field of artificial intelligence technologies. An implementation includes: acquiring training data, the training data including a single-modal language material and a multi-modal language material, and the multi-modal language material including a language material pair formed by a first-modal language material and a second-modal language material; and performing a multi-task training operation on a pre-trained model using the training data, the multi-task including at least one cross-modal contrastive learning task and at least one single-modal learning task; the pre-trained language model obtained in the present disclosure may learn from different forms of language materials, i.e., the single-modal language material and the multi-modal language material, such that the pre-trained language model may effectively process information in various modals.