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公开(公告)号：US20250139327A1
公开(公告)日：2025-05-01
申请号：US18895722
申请日：2024-09-25
Inventor： Liang Shen , Jinle Zeng , Hongxiang Hao , Weibao Gong , Dianhai Yu , Haifeng Wang
IPC: G06F30/20
Abstract: A method for processing a model operator includes: determining an operator set for model networking, wherein the operator set comprises a plurality of operators; determining a storage amount occupied by an output tensor of each operator in the operator set and a computation time period consumed in a forward computation of each operator in the operator set; and determining a first operator participating in recomputation in a model from the operator set, based on the storage amounts and the computation time periods of the plurality of operators.
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公开(公告)号：US12283124B2
公开(公告)日：2025-04-22
申请号：US17995283
申请日：2022-03-22
Inventor： Heng Wang , Zhenlei Tian , Tianbao Yu
Abstract: A method of training a text quality assessment model, a method of determining text quality, an electronic device, and a storage medium are provided. The method of training the text quality assessment model includes: determining a first text satisfying a condition of being a negative sample and a second text satisfying a condition of being a positive sample from a plurality of texts based on indicators for the texts; for any text of the first text and the second text, adding a label to the text based on the condition satisfied by the text, wherein the label indicates a category of the text, and the category includes a low-quality category for the negative sample and a non-low-quality category for the positive sample; and constituting a training set by the first text having a label and the second text having a label, to train the text quality assessment model.
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公开(公告)号：US12282746B2
公开(公告)日：2025-04-22
申请号：US17820765
申请日：2022-08-18
Inventor： Haifeng Wang , Zhanyi Liu , Zhongjun He , Hua Wu , Zhi Li , Xing Wan , Jingxuan Zhao , Ruiqing Zhang , Chuanqiang Zhang , Fengtao Huang , Hanbing Song , Wei Di , Shuangshuang Cui , Yongzheng Xin
IPC: G06F40/58
Abstract: A display method, an electronic device, and a storage medium, which relate to a field of natural language processing and a field of display. The display method includes: acquiring a content to be displayed; extracting a target term from the content using a term extraction rule; acquiring an annotation information for at least one target term, responsive to an extraction of the at least one target term; and displaying the annotation information for the at least one target term and the content.
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公开(公告)号：US20250123812A1
公开(公告)日：2025-04-17
申请号：US18988135
申请日：2024-12-19
Inventor： Yuehao Zhao , Wenjie Li , Chuqing Wang , Yunpeng Peng , Sai Gao , Hui Li , Junwei Xing , Wanpeng Niu , Bingfei Zhang
Abstract: The disclosure provides a code completion method based on a big model. The method includes: determining a first code element where a position to be completed is located in a first code file to be completed; determining a second code file having a dependency relationship with the first code file from a development project to which the first code file belongs; determining, according to the first code element, a second code element whose correlation with the first code element meets a preset condition, in which the second code element belongs to at least one of the first code file or the second code file; and generating a target code corresponding to the position to be completed through a big model based on a signature of the second code element.
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公开(公告)号：US12277397B2
公开(公告)日：2025-04-15
申请号：US17564369
申请日：2021-12-29
Inventor： Chao Ma , Jingshuai Zhang , Qifan Huang , Kaichun Yao , Peng Wang , Hengshu Zhu
Abstract: A method of training a model, a method of determining a word vector, a device, a medium, and a product are provided, which may be applied to fields of natural language processing, information processing, etc. The method includes: acquiring a first word vector set corresponding to a first word set; and generating a reduced-dimensional word vector for each word vector in the first word vector set based on a word embedding model, generating, for other word vector in the first word vector set, a first probability distribution in the first word vector set based on the reduced-dimensional word vector, and adjusting a parameter of the word embedding model so as to minimize a difference between the first probability distribution and a second probability distribution for the other word vector determined by a number of word vector in the first word vector set.
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Patent Agency Ranking
公开(公告)号：US20250117601A1
公开(公告)日：2025-04-10
申请号：US18987693
申请日：2024-12-19
Inventor： Huilin Li , Yi Li , Lunan Zhao , Jie Liu , Li Ma , Tao Li , Tianzhong Hu , Yu Chen , Yongjuan Che , Aowei Li , Hanmeng Liu , Shouke Qin
IPC: G06F40/40 , G06F40/284 , G06F40/30
Abstract: A computer-implemented method for information processing includes: obtaining text information, in which the text information includes first text information of a resource to be commented on and second text information of a candidate prompt; selecting a target prompt from the candidate prompts based on the text information; and generating comment information of the resource to be commented on, based on the resource to be commented on and the target prompt.
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公开(公告)号：US20250110255A1
公开(公告)日：2025-04-03
申请号：US18957351
申请日：2024-11-22
Inventor： Jingbo ZHOU , Pengfei REN
IPC: G01W1/00 , G06F40/166
Abstract: A method of determining meteorological information, an electronic device and a storage medium are provided, which relate to a field of artificial intelligence technology, and in particular to fields of deep learning and large models. The method includes performing a feature extraction on meteorological raster data of a target region within a target time period to obtain a meteorological feature vector; inputting to-be-processed meteorological data of the target region within the target time period into a large language model to obtain a text summary including a meteorological information determination manner; performing an information enhancement processing on the meteorological feature vector by using the text summary to obtain an information enhancement result; and performing a self-attention processing on the information enhancement result to obtain a meteorological information determination result output for the to-be-processed meteorological data.
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公开(公告)号：US12265950B2
公开(公告)日：2025-04-01
申请号：US17564363
申请日：2021-12-29
Inventor： Jingshuai Zhang , Qifan Huang , Chao Ma , Hengshu Zhu , Peng Wang , Kaichun Yao , Jing Wang
IPC: G06Q10/1053 , G06N3/08
Abstract: The present disclosure provides a method and an apparatus of matching data, a device and a computer-readable storage medium, which are related to the field of artificial intelligence technology, and in particularly to the field of intelligent search and deep learning. The specific implementation solution includes: obtaining a first instance of a resume and a second instance of a job profile; determining, for a meta path, a resume feature data of the first instance and a profile feature data of the second instance, the meta path is a knowledge graph path from the resume to the job profile; and applying a classification model to the resume feature data of the first instance and the profile feature data of the second instance to determine a matching result between the first instance and the second instance.
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公开(公告)号：US12263834B2
公开(公告)日：2025-04-01
申请号：US17711082
申请日：2022-04-01
Inventor： Wenyang Chen , Bo Zhan , Zhiming Zhang
Abstract: The present disclosure provides a spatial parking place detection method and device, a storage medium and a program product, which relate to the field of data processing and, in particular, to the fields of computer vision, autonomous parking and autonomous driving. A specific implementation lies in: acquiring ultrasonic data around a vehicle collected by an ultrasonic sensor on the vehicle, and image data around the vehicle collected by an image collection apparatus; determining a first spatial parking place around the vehicle according to the ultrasonic data, and determining a second spatial parking place around the vehicle according to the image data; fusing the first spatial parking place and the second spatial parking place that are located at an identical position to determine a spatial parking place at that position; and checking the availability of the detected spatial parking place, and determining available spatial parking places of the vehicle.
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10.发明申请公开(公告)号：US20250104817A1
公开(公告)日：2025-03-27
申请号：US18974497
申请日：2024-12-09
Inventor： Lihang Liu , Xiaomin Fang , Xiaonan Zhang , Jingzhou He
Abstract: A training method and apparatus for a full atomic structure prediction model. The method includes: obtaining structural information of a biomolecule and a first dynamic trajectory of the biomolecules; in which, the first dynamic trajectory includes position information of atoms in the biomolecule at different time points; adding noise to the first dynamic trajectory to obtain a second dynamic trajectory; encoding the structural information to obtain encoded features; decoding the encoded features and the second dynamic trajectory to obtain a target dynamic trajectory; and training an initial full atomic structure prediction model based on a difference between the target dynamic trajectory and the first dynamic trajectory, to obtain the full atomic structure prediction model.
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