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How to optimize the logical coherence of generating long articles?

2025-09-10 1.9 K
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A systematic approach to improving logical coherence

OmniThink uses a dynamic outline pulling mechanism to guarantee the logic of long texts, specifically included:

  • Level 3 syllabus validation: Generate an interactive outline structure before writing, users can make manual corrections through the API (/api/outline/validate), the system will rebuild the logical links based on the results of the corrections
  • Paragraph bonding test: automatically run coherence analysis for every 3 paragraphs, use BERT model to calculate semantic similarity between paragraphs, and insert transition sentences when the score is <0.65
  • causal chain tracing: Automatically constructs causality graphs for expository content, visualized in . /results/relation_graph for user validation.

Best Practice Recommendations:
1. Set -coherence_mode=strict mode before runtime
2. Place reference_doc.docx as a style reference in the root directory of the project during the preparation phase.
3. For academic paper writing, it is recommended to enable the -citation_check parameter to ensure that the citation logic is closed loop.

Real-time debugging commands are available for sudden logic breaks:
curl -X POST http://localhost:5000/api/repair -d '{"paragraph_id": "p12″, " issue_type": "logic_gap"}'

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