一种多智能体驱动的论文智能评阅方法及系统

By constructing a multi-agent driven intelligent paper review system, the problems of single review dimensions and data leakage in existing technologies are solved, achieving efficient, comprehensive and consistent paper review, and providing detailed review results and improvement suggestions.

CN121961793BActive Publication Date: 2026-07-17BEIJING MIANBI INTELLIGENT TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING MIANBI INTELLIGENT TECH CO LTD
Filing Date
2026-01-20
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing intelligent paper review technologies lack in-depth design, the construction of expert agents is not comprehensive enough, the review dimensions are too simplistic, making it difficult to meet the actual needs of paper review, and there are also problems of data leakage and distortion of evaluation results.

Method used

A multi-agent driven intelligent paper review system is constructed. By building a review point list based on the paper quality review dimensions, combining the background information of review experts and a large language model, a group of intelligent review experts is constructed, and an intelligent review workflow is designed to realize intelligent paper review.

Benefits of technology

It significantly improves the quality and consistency of reviews, provides detailed problem descriptions and targeted improvement suggestions, shortens the review cycle, reduces the cost of manual intervention, and supports large-scale batch reviews.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了一种多智能体驱动的论文智能评阅方法及系统,属于人工智能技术领域,用于解决现有的论文智能评阅技术对专家智能体的构建缺乏深度设计,评阅维度单一,评阅全面性不足,难以满足论文智能评阅的实际需求的技术问题。方法包括:基于论文质量审查的基础审查维度,构建审查点清单;根据历史论文与专家评阅数据构建评阅大模型;基于评阅专家背景信息与评阅大模型,构建评阅专家智能体群;基于评阅专家智能体群、审查点清单及评阅规则,构建智能评阅工作流;将待评阅论文输入智能评阅工作流中,以在评阅专家智能体群中匹配若干合适的评阅专家智能体对待评阅论文进行智能评阅,得到智能评阅结果。
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