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公开(公告)号:US20250005053A1
公开(公告)日:2025-01-02
申请号:US18749305
申请日:2024-06-20
Inventor: Peiguo DONG , Fangfang SHI , Meiyuan DING , Huibin ZHAO
IPC: G06F16/332
Abstract: A method and an apparatus for answer feedback, which are applied to a large language model, are provided. The method includes receiving a question input by a user; generating a candidate answer set of the question by using a pre-trained large language model, and selecting an answer from the candidate answer set as a target answer, and displaying the target answer to the user; in response to receiving a feedback request for the target answer sent by the user: generating a feedback page and displaying the feedback page to the user, where content of the feedback page includes the candidate answer set; determining, in response to receiving an update request sent by the user based on the feedback page, an answer indicated by the update request from the candidate answer set as a new target answer, and displaying the new target answer to the user.
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公开(公告)号:US20220078250A1
公开(公告)日:2022-03-10
申请号:US17527300
申请日:2021-11-16
Inventor: Jiamei KANG , Shengran CHE , Meiyuan DING , Lina HU , Huibin ZHAO
IPC: H04L29/08
Abstract: A method and an apparatus of presenting information, an electronic device and a storage medium are provided, which relate to information flow, cloud platform and cloud service. The method includes: displaying an information presenting interface containing at least one shared information, wherein each of the at least one shared information is presented in a display area including a reference identification indicating a recommendation level for the each of the at least one shared information; acquiring a trigger operation of an object on a reference identification of a target shared information in the information presenting interface; determining a level value of recommending the target shared information by the object according to a role information of the object, in response to the trigger operation; and updating the reference identification of the target shared information according to the level value of recommending the target shared information by the object.
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