Article

Hierarchical Context-Aware Summarization for Complex Korean Administrative Tables via Multi-Stage Prompt Engineering

2026-03-02

Abstract excerpt

Interpreting and summarizing complex structured tabular data, particularly in specialized domains such as Korean administration, presents significant challenges due to intricate structures and domain-specific terminology. While Large Language Models (LLMs) offer promising capabilities, their direct application often results in information loss and misinterpretation. Existing solutions frequently necessitate extens...

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Literature Corpus work: 3fa16d99-fac5-5992-bc0e-e84acf9fa16c
DOI: 10.20944/preprints202602.2053.v1

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