Author

Karen Lee

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Preprint Aug 2026

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization

This work proposes Multi-LLM Iterative Data-Adaptive Summarization (MIDAS), a multi-LLM framework that extends this paradigm with data-driven pattern learning and use-case-specific personalization, enabling automatic adaptation to different summarization requirements without manual prompt engineering.

Karen Lee, D. Balaram, Seojun Shon et al. · 0 citations