公开(公告)号：US20240303430A1

公开(公告)日：2024-09-12

申请号：US18667504

申请日：2024-05-17

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

Inventor： Meng TIAN ,  Lin YANG ,  Xinwei FENG ,  Zhifan FENG ,  Xiaopeng CUI ,  Qiaoqiao SHE ,  Hua WU

IPC: G06F40/20

CPC classification number: G06F40/20

Abstract: A technical solution for processing a model generation result, which relates to the field of artificial intelligence technologies is disclosed. An implementation includes: disassembling a text generation result of a generative large model to obtain a plurality of result logic units; wherein each result logic unit includes a segment in the text generation result; each segment is capable of independently identifying one premise or conclusion in a logical inference relationship of the text generation result; and the text generation result is a response result generated by the generative large model based on text input information; generating a logical inference graph capable of characterizing a logical inference relationship among the plurality of result logic units based on the plurality of result logic units; and determining whether logical inference of generation of the text generation result by the generative large model is correct or not based on the logical inference graph.