mamabench and mamaretrieval: Benchmarks for Evaluating Medical Retrieval-Augmented Generation in Maternal, Neonatal, and Reproductive Health

arXiv:2606.29467 · cs.CL, cs.IR · Submitted 2026-06-28 · Read on arXiv

cs.CL, cs.IR

Submitted: 2026-06-28

Updated: 2026-07-06

Code: https://github.com/nmrenyi/mamabench

Terminology

• Benchmark — 55× in this paper · explained in 2 episodes
• RAG — 6× in this paper · explained in 3 episodes
• LLM judge — 5× in this paper · explained in 2 episodes
• Calibration — 4× in this paper · explained in 7 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Provenance — 3× in this paper · explained in 4 episodes
• Benchmarking — 2× in this paper · explained in 4 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Commentary — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Meeting of the Association for Computational Linguistics — 1× in this paper
• Robustness — 1× in this paper · explained in 5 episodes
• Self-consistency — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• HealthBench: Evaluating Large Language Models Towards Improved Human Health
• Criteria-Based LLM Relevance Judgments
• Gecko: Versatile Text Embeddings Distilled from Large Language Models
• MAM-AI: An On-Device Medical Retrieval-Augmented Generation System for Nurses and Midwives in Zanzibar
• UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance Assessor

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