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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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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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Patent Agency Ranking
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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9.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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10.发明申请公开(公告)号：US20250103802A1
公开(公告)日：2025-03-27
申请号：US18974408
申请日：2024-12-09
Inventor： Guangyuan Yan
IPC: G06F40/20
Abstract: The disclosure provides a method for optimizing content generated by a large model, an apparatus for optimizing content generated by a large model, an electronic device and a storage medium, and relates to the technical field of artificial intelligence, especially to the technical fields of text processing, large language model and the like. It can be applied to official document processing, automatic contract generation, legal document writing, enterprise internal system management and so on. The method includes: obtaining a question entered by a user, wherein the question is used to instruct a generation of a text of a target type; obtaining a set of target rules corresponding to the target type from a plurality of preset sets of rules, in which the set of target rules includes a plurality of target rules, and the target rules are rules followed by the target type of text; and according to a sequence of the target rules, inputting the plurality of target rules into a large language model sequentially to obtain a target text of the target type generated by the large language model. In this way, the accuracy of generating text following certain rules by the large language model is improved.
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