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

From the 1 of 5 linked papers with an AI index.

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

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

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2026★ 2 cited

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

Jiazhen Pan, Bailiang Jian, Paul Hager +19

The paper presents a dynamic red‑teaming framework (DAS) that continuously stress‑tests large language models on health tasks for robustness, privacy, bias, and hallucination, reve…

cs.LG2026

Evo: Autoregressive-Diffusion Large Language Models with Evolving Balance

Junde Wu, Minhao Hu, Jiayuan Zhu +7

We introduce \textbf{Evo}, a duality latent trajectory model that bridges autoregressive (AR) and diffusion-based language generation within a continuous evolutionary generative fr…