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Author

Eunkyeong Lee

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Preprint Sep 2026

SURE: Framework for Safety to Construct Trustworthy AI

This study proposes SURE (A Safe and Unified AI Framework foR Everyone), which is designed as a framework for customizing the attributes of AI safety and ensuring the defined AI safety.

Soeun Han, Jisoo Lee, Jeongyong Shim et al. · 0 citations
#artificial intelligence Preprint Sep 2026

MOSAIC: Query-Aware Exploration Policy Adaptation for GraphRAG

Mosaic is presented, a training-free framework that formulates GraphRAG retrieval as a per-query control problem that converts query-specific evidence requirements into a bounded policy over seed selection, graph traversal, stopping, and evidence selection while the corpus graph, indexes, scoring functions, grounding p...

Eunkyeong Lee, Kyeong-Jin Oh, Jinwon Kim et al. · 0 citations

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