Entity · technique

Uncertainty-aware Multi-Granularity RAG

techniqueactiveuncertainty-aware-multi-granularity-rag-48b6c118·1 events·first seen Jun 12, 2026

Aliases: Uncertainty-aware Multi-Granularity RAG

Co-occurring entities

Uncertainty-Aware Hybrid Retrieval for Long-Document RAG

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4arXiv · cs.CL·Jun 12, 2026·source ↗

UMG-RAG: Training-free hybrid retrieval with uncertainty-aware granularity fusion for long-document RAG

Researchers propose Uncertainty-aware Multi-Granularity RAG (UMG-RAG), a training-free hybrid retrieval framework that addresses the tension between large and fine-grained retrieval chunks in RAG pipelines. The system converts dense and sparse retriever scores across multiple chunk granularities into evidence distributions, estimates reliability via entropy, and fuses candidates using query-specific confidence signals. A variant called UMGP-RAG uses fine-grained hits to locate evidence while returning broader parent chunks for coherence. Experiments on QA benchmarks show improved generation quality with no changes to the underlying retriever or generator.

Long Context Evolution Evaluation and Benchmarking Uncertainty-Aware Hybrid Retrieval for Long-Document RAG Uncertainty-aware Multi-Granularity RAG