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domainspecific-problem-extraction

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chigwell / llm-structured-summary

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This package would process text input, such as a research paper title or abstract snippet, and generate a structured summary of the core idea or problem addressed. It uses an LLM to interpret the inpu

content-filtering prompt-engineering llm-summarization xml-like-formatting structured-summary-generation research-text-processing domainspecific-problem-extraction nontechnical-abstraction patternmatching-validation safecontent-compliance abstract-snippet-analysis parsing-readiness output-consistency-enforcement human-message-integration privacyaware-summarization
  • Updated Dec 21, 2025
  • Python

judy-kyalo / llm-structured-summary

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📝 Summarize text using LLMs to generate structured insights from research titles or abstracts, making data easy to understand and reuse.

rss awesome podcast audio-processing content-filtering mlx code-documentation mitre-attack parakeet ai-models local-llm ollama xml-like-formatting research-text-processing domainspecific-problem-extraction patternmatching-validation safecontent-compliance parsing-readiness human-message-integration privacyaware-summarization
  • Updated Sep 25, 2026
  • Python

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