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From the 1 of 31 linked papers with an AI index.

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

2 citations · 3 across the 16 of their papers we have counts for

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cs.AI2026

BioMedArena: An Open-source Toolkit for Building and Evaluating Biomedical Deep Research Agents

Jinge Wu, Hongjian Zhou, Mingde Zeng +8

Reproducing and comparing deep research agents today is hard: the same backbone evaluated on the same benchmark can report different accuracies across papers because the harness an…

cs.AI2026

GRASP: Gated Regression-Aware Skill Proposer for Self-Improving LLM Agents

Johannes Moll, Jean-Philippe Corbeil, Jiazhen Pan +4

LLM agents acting in structured environments fail in operational rather than conversational ways, and reliability depends on procedural knowledge of the environment. Prior self-imp…

cs.AI2026

RealICU: Do LLM Agents Understand Long-Context ICU Data? A Benchmark Beyond Behavior Imitation

Chengzhi Shen, Weixiang Shen, Tobias Susetzky +7

Intensive care units (ICU) generate long, dense and evolving streams of clinical information, where physicians must repeatedly reassess patient states under time pressure, undersco…

cs.AI2026

Evo-MedAgent: Beyond One-Shot Diagnosis with Agents That Remember, Reflect, and Improve

Weixiang Shen, Bailiang Jian, Jun Li +6

Tool-augmented large language model (LLM) agents can orchestrate specialist classifiers, segmentation models, and visual question-answering modules to interpret chest X-rays. Howev…

cs.AI2026

Med-CMR: A Fine-Grained Benchmark Integrating Visual Evidence and Clinical Logic for Medical Complex Multimodal Reasoning

Haozhen Gong, Xiaozhong Ji, Yuansen Liu +9

MLLMs MLLMs are beginning to appear in clinical workflows, but their ability to perform complex medical reasoning remains unclear. We present Med-CMR, a fine-grained Medical Comple…