MedMeta: A Benchmark for LLMs in Synthesizing Meta-Analysis Conclusion from Medical Studies
Large language models (LLMs) have saturated standard medical benchmarks that test factual recall, yet their ability to perform higher-order reasoning, such as synthesizing evidence from multiple sources, remains critically under-explored. To address this gap, we introduce MedMeta, the first benchmark designed to evaluate an LLM's ability to generate conclusions from medical meta-analyses using only the abstracts of cited studies. MedMeta comprises 81 meta-analyses from PubMed (2018--2025) and ev
Record details
Published: 10 May 2026
Source: arXiv
Category: Research
Topics: Healthcare
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (10 May 2026), “MedMeta: A Benchmark for LLMs in Synthesizing Meta-Analysis Conclusion from Medical Studies,” evidence record 4611, https://ethics.ai/record/4611 (originally published by arXiv).
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