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
SAGE, a training-free framework that parses semantic entities from dense document images, represents them as hierarchical graph nodes with multi-vector embeddings, and retrieves query-relevant evidence through iterative entity-level subgraph matching, is proposed.
Yongjoo Kim, Mincheol Kwon, Seong-Gi Choi et al.· 0 citations
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