1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2026
Untangling the Mechanisms of Misleading Context in Medical Question Answering
Robin Linzmayer, Noémie Elhadad
Large language models now answer medical questions with expert-level performance. However, the context these systems act on can be misleading, and misleading context can corrupt a…
cs.AI2026★ 1 cited
AcuityBench: Evaluating Clinical Acuity Identification and Uncertainty Alignment
Robin Linzmayer, Georgianna Lin, Di Coneybeare +22
We introduce AcuityBench, a benchmark for evaluating whether language models identify the appropriate urgency of care from user medical presentations. Existing health benchmarks em…