newsGoogle News — LLMTrust 62 · AggregatorPublished 9d agoLive · 8d ago
Addressing benchmarking gaps in large language models for health and medicine with dynamic red-teaming - Nature
Addressing benchmarking gaps in large language models for health and medicine with dynamic red-teaming Nature
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paperMulti-Large Language Model Orchestrated Severity Assessment of Clinical Records (MOSAIC)paperMedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical ConsultationpaperClinician-Level Agreement Without Clinical Caution: LLM Evaluator Limits in Medical AI Benchmarkingrepotyang816/Awesome-TCM-LLMpaperEvaluating and Understanding Model Editing for Medical Vision Language Models
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paperMedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical ConsultationpaperEvaluating and Understanding Model Editing for Medical Vision Language ModelspaperAn Early Warning of Emerging Biosecurity Risks in Frontier LLMsrepotyang816/Awesome-TCM-LLMpaperMulti-Large Language Model Orchestrated Severity Assessment of Clinical Records (MOSAIC)paperClinician-Level Agreement Without Clinical Caution: LLM Evaluator Limits in Medical AI BenchmarkingpaperSafety That Does Not Transfer: Cross-Lingual Clinical Correctness Drift in Deployable Medical Language Models