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Asclepius: An Adaptive Harness for Long-Horizon Clinical Agents
LLM agents are predominantly benchmarked on short, single-task trajectories, yet real deployments run for hours under contention, surfacing a different class of failures. We use the Clinical Environment Simulator (CES), in which an agent manages an entire emergency-department shift under continuous time and resource pressure, as a testbed: long-horizon execution failures manifest measurably in a single rollout under structured, multi-dimensional grading. On CES, current agents reach the correct diagnosis in most cases yet fail to deliver complete and timely critical actions, revealing an execu
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-11T21:14:59.000Z
First collected: 2026-09-20T16:41:15.630Z. This is not the publication date.