works on
benchmarking gap 1health AI 1large language models 1red teaming 1safety evaluation 1

From the 1 of 8 linked papers with an AI index.

most citedAddressing Benchmarking Gaps in Large Language Models for Health and Medicine with Dynamic Red-Teaming

2 citations · 4 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2026★ 1 cited

MedOpenClaw and MedFlowBench: Auditing Medical Agents in Full-Study Workflows

Weixiang Shen, Chengzhi Shen, Yanzhu Hu +12

Medical imaging benchmarks often evaluate VLMs on pre-selected 2D images, slices, crops, or patches, making evaluation closer to visual recognition. Real clinical workflows impose…

cs.CV2026★ 1 cited

Does DINOv3 Set a New Medical Vision Standard? Benchmarking 2D and 3D Classification, Segmentation, and Registration

Che Liu, Yinda Chen, Haoyuan Shi +21

The advent of large-scale vision foundation models, pre-trained on diverse natural images, has marked a paradigm shift in computer vision. However, how the frontier vision foundati…