ROZA graphs enable self-improving RAG by storing evidence-specific reasoning chains, yielding up to 10.6pp accuracy gains and 46% lower cost through graph traversal feedback.
MuSiQue : Multihop questions via single hop question composition
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
EnterpriseRAG-Bench supplies a synthetic corpus of 500k documents across Slack, Gmail, Linear, Google Drive, HubSpot, Fireflies, GitHub, Jira and Confluence together with 500 questions spanning single-document lookup to conflict resolution and missing-information detection.
citing papers explorer
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ROZA Graphs: Self-Improving Near-Deterministic RAG through Evidence-Centric Feedback
ROZA graphs enable self-improving RAG by storing evidence-specific reasoning chains, yielding up to 10.6pp accuracy gains and 46% lower cost through graph traversal feedback.
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EnterpriseRAG-Bench: A RAG Benchmark for Company Internal Knowledge
EnterpriseRAG-Bench supplies a synthetic corpus of 500k documents across Slack, Gmail, Linear, Google Drive, HubSpot, Fireflies, GitHub, Jira and Confluence together with 500 questions spanning single-document lookup to conflict resolution and missing-information detection.