Author

Jash Parekh

University of Illinois Urbana-Champaign

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Preprint Aug 2026

EnSI-RAG: Entity-Structure-Indexed Retrieval-Augmented Generation for Long-Document Question Answering

This work proposes EnSI-RAG (Entity-Structure-Indexed Retrieval-Augmented Generation), a framework that constructs a query-independent, entity-centered index that separates evidence localization from answer synthesis while preserving traceable source evidence.

Xuan-Yu Meng, Jiashuo Sun, Jash Parekh et al. · 1 citation