agent/papers/items/2026-2606-03157-clinicalmc-a-benchmark-for-multi-course-clinical-decision-making-with-large-lang.md

Paper: ClinicalMC: A Benchmark for Multi-Course Clinical Decision-Making with Large Language Models

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type: paper title: "ClinicalMC: A Benchmark for Multi-Course Clinical Decision-Making with Large Language Models" authors: Ruihui Hou, Siyi Zhu, Ziyue Huai, Guangya Yu, Yongqi Fan, Chunming Wang, Tong Ruan year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.03157 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-02 updated_at: 2026-06-02 status: queued relevance: high topics:

• agent-evaluation
• multi-agent
• rag methods:

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 13 collection_queries: agent-evaluation

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: agent-evaluation
• inferred topics: agent-evaluation, multi-agent, rag
• arXiv categories: cs.AI
• collection score: 13

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2606.03157