Information display method and apparatus

By receiving user input and historical interruption information in a large language model to determine prompt words, the bias problem of large language models in intent understanding and multi-turn interaction is solved, and more accurate and coherent responses are achieved.

CN122133670APending Publication Date: 2026-06-02VIVO MOBILE COMM CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
VIVO MOBILE COMM CO LTD
Filing Date
2026-03-20
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Large language models suffer from semantic ambiguity and interpretation in intent understanding and multi-turn interaction processing, causing responses to deviate from user expectations, fail to effectively convey the intent of previous interactions, and are susceptible to interference from invalid historical information, thus reducing the accuracy of responses.

Method used

By receiving user input, the output of the large language model is stopped. By combining historical interruption information and current query information, targeted prompt words are determined to guide the large language model to generate an accurate response, retain historical interaction intent, and avoid interference in multi-turn interactions.

Benefits of technology

It improves the accuracy of responses from large language models and the coherence of interactions, reduces redundancy and deviation, and ensures that responses align with user needs.

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Abstract

This application discloses an information display method and apparatus, belonging to the field of artificial intelligence technology. The method includes receiving a first input, which is used to stop a large language model from continuing to output a first response message, the first response message being the information of the large language model responding to the first query message input by the user; in response to the first input, determining a first prompt word based on a second query message and an interruption message; inputting the second query message, the first prompt word, and the second prompt word into the large language model, and displaying the second response message output by the large language model on a first interface, the second prompt word being a preset prompt word for the large language model.
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