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公开(公告)号:US20250028958A1
公开(公告)日:2025-01-23
申请号:US18908380
申请日:2024-10-07
Inventor: Xuyi CHEN , Bo KE , Chenhui LI , Zhengjie HUANG , Shiwei HUANG , Weibin LI , Shikun FENG
IPC: G06N3/08
Abstract: A data processing method, and a data processing model and a training method therefor are provided, and relate to the field of artificial intelligence, and specifically, to natural language processing, deep learning technologies, and large model technologies. An implementation solution includes: determining input data, where the input data includes a plurality of tokens; determining a correlation between each of the plurality of tokens and each of a plurality of expert networks based on a gating matrix, where the plurality of expert networks are used to reinforce the plurality of tokens; allocating the plurality of tokens to the plurality of expert networks in a uniform manner based on the correlation and a preset capacity of each expert network, to reinforce the plurality of tokens; and determining a data processing result based on the plurality of reinforced tokens.
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公开(公告)号:US20230135536A1
公开(公告)日:2023-05-04
申请号:US18089395
申请日:2022-12-27
Inventor: Chenhui LI , Teng HU , Shikun FENG , Yongfeng CHEN
Abstract: A method and an apparatus for processing a table are provided. The method includes: obtaining text information of cells in the table; obtaining structure information of the cells in the table; and inputting a query word, the text information, and the structure information of the table into a table information extraction model to obtain an answer output from the table information extraction model, wherein the output answer corresponds to the query word in the table.
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