基于角色分工的生成式金融报告撰写方法
By constructing a set of semantic anchors and performing structured compression processing, the problem of contextual state invalidation in generative financial reports was solved, achieving semantic consistency and contextual coherence of the generated content and improving the reliability of the reports.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA LIANHE CREDIT RATING CO LTD
- Filing Date
- 2026-01-30
- Publication Date
- 2026-07-17
AI Technical Summary
In the financial industry, a technical problem that existing technologies cannot effectively solve is that, in existing role-based generative financial report writing methods, as the report structure increases and the number of roles increases, there is a significant context state failure in the chained Prompt transmission, which leads to information truncation, misalignment and semantic drift, affecting the structural coherence and content accuracy of the report.
By constructing a set of semantic anchors and performing structured compression, key semantic information is extracted, and a structured semantic summary is generated as the sole context source for the next role. An anchor binding and semantic coverage verification mechanisms are introduced to ensure the semantic consistency and logical coherence of the generated content.
It effectively prevents information misalignment and semantic drift during the context compression process, ensuring that the subsequently generated content accurately restores the original logical chain, and improving the semantic consistency and contextual coherence in the automatic generation of financial reports.
Smart Images
Figure CN121997900B_ABST