论文详情
- 英文标题
- LiveClin: A Live Clinical Benchmark without Leakage
- 作者
- Xidong Wang, Guo shuqi, Yue Shen, Junying Chen, Jian Wang, Jinjie Gu, Ping Zhang, Lei Liu, Benyou Wang
- 期刊/会议
- ICLR 2026 Poster
- 发表年份
- 2026 年
- 研究方向
- trustworthy medical AI
ICLR 2026 Poster accepted paper at ICLR 2026. The reliability of medical LLM evaluation is critically undermined by data contamination and knowledge obsolescence, leading to inflated scores on static benchmarks. To address these challenges, we introduce LiveClin, a live benchmark designed for the approximating real-world clinical practice. Built from contemporary, peer-reviewed case reports and updated biannually, LiveClin ensures clinical currency and resists data contamination. Using a verified AI–human workflow involving 239 physicians, we transform authentic patient cases into complex, multimodal evaluation scenarios that span the entire clinical pathway. Code/project link: https://github.com/AQ-MedAI/LiveClin
