The authors introduce and release two new benchmarks for maternal-health RAG evaluation, built from expert sources with graded labels and disclosed limitations rather than binary judgments or new question authoring.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Contrastive Reflection identifies error-anchored slices in agent traces, adds contrastive successes, and uses a Teacher LLM to generate prompt edits that are accepted only if they improve validation performance, raising HotpotQA exact-match from 51.4% to 60.4%.
citing papers explorer
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mamabench and mamaretrieval: Benchmarks for Evaluating Medical Retrieval-Augmented Generation in Maternal, Neonatal, and Reproductive Health
The authors introduce and release two new benchmarks for maternal-health RAG evaluation, built from expert sources with graded labels and disclosed limitations rather than binary judgments or new question authoring.
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Contrastive Reflection for Iterative Prompt Optimization
Contrastive Reflection identifies error-anchored slices in agent traces, adds contrastive successes, and uses a Teacher LLM to generate prompt edits that are accepted only if they improve validation performance, raising HotpotQA exact-match from 51.4% to 60.4%.