Large language model-based question answering method

An electronic device, comprising:

• a memory storing one or more programs configured to be executed by one or more processors, the one or more programs including instructions for performing operations comprising:
• obtaining a document for question answering, wherein the document comprises at least one page;
• determining a first vector corresponding to each of the at least one page;
• obtaining a target question text to be answered to determine a second vector corresponding to the target question text;
• performing the following first operations on the target question text:
• determining, based on the second vector and the first vector corresponding to each of the at least one page, a first similarity between the target question text and each of the at least one page;
• determining, based on the first similarities, at least one candidate page with the highest similarity to the target question text among the at least one page;
• and
• generating, based on the at least one candidate page and the target question text, a first identifier and first content, or generating a second identifier and second content, using a large language model,
• wherein the first content comprises an answer corresponding to the target question text, wherein the answer is generated based on the at least one candidate page, and the first Identifier is used to identify that the content within the at least one candidate page is sufficient to answer the target question text;
• wherein the second content comprises at least two sub-question texts corresponding to the target question text, wherein the second identifier is used to identify that the content within the at least one candidate page is insufficient to answer the target question text, wherein the at least two sub-question texts respectively correspond to sub-steps for answering the target question text, wherein the at least two sub-question texts are used to obtain the answer to the target question text.

A non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause the computer to perform the following operations:

• obtaining a document for question answering, wherein the document comprises at least one page;
• determining a first vector corresponding to each of the at least one page;
• obtaining a target question text to be answered to determine a second vector corresponding to the target question text;
• performing the following first operations on the target question text:
• determining, based on the second vector and the first vector corresponding to each of the at least one page, a first similarity between the target question text and each of the at least one page;
• determining, based on the first similarities, at least one candidate page with the highest similarity to the target question text among the at least one page;
• and
• generating, based on the at least one candidate page and the target question text, a first identifier and first content, or generating a second identifier and second content, using a large language model,
• wherein the first content comprises an answer corresponding to the target question text, wherein the answer is generated based on the at least one candidate page, and the first identifier is used to identify that the content within the at least one candidate page is sufficient to answer the target question text;
• wherein the second content comprises at least two sub-question texts corresponding to the target question text, wherein the second identifier is used to identify that the content within the at least one candidate page is insufficient to answer the target question text, wherein the at least two sub-question texts respectively correspond to sub-steps for answering the target question text, wherein the at least two sub-question texts are used to obtain the answer to the target question text.