most citedTowards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications

1 citations · 1 across the 4 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2026

MLB: A Scenario-Driven Benchmark for Evaluating Large Language Models in Clinical Applications

Qing He, Dongsheng Bi, Jianrong Lu +20

The proliferation of Large Language Models (LLMs) presents transformative potential for healthcare, yet practical deployment is hindered by the absence of frameworks that assess re…