most citedFrom RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance Process

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cs.CL2026

Surrogate modeling for interpreting black-box LLMs in medical predictions

Changho Han, Songsoo Kim, Dong Won Kim +4

Large language models (LLMs), trained on vast datasets, encode extensive real-world knowledge within their parameters, yet their black-box nature obscures the mechanisms and extent…

cs.CL2024★ 10 cited

From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance Process

Jaewoong Kim, Moohong Min

Regulatory compliance in the pharmaceutical industry entails navigating through complex and voluminous guidelines, often requiring significant human resources. To address these cha…