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cs.AI2026
CliniCARE-Bench: Clinical Calibrated Audit of Medical Reasoning in EHR
Veronica Chatrath, Bryan Zhu, George Pu +16
Large language models perform strongly on medical knowledge benchmarks, but reliable clinical deployment requires agents to conduct defensible investigations over heterogeneous, lo…
cs.AI2026
Towards the Harness of Embodied Agents
Qi Wang, Tianyi Wang, Chengyang Li +6
The success of coding agents has established the harness as a paradigm: what an agent achieves depends not on the model alone, but on the infrastructure around it. We ask whether t…
cs.AI2026
Insights Generator: Systematic Corpus-Level Trace Diagnostics for LLM Agents
Akshay Manglik, Apaar Shanker, Kaustubh Deshpande +6
Diagnosing failures in LLM agents remains largely manual. Practitioners inspect a small subset of execution traces, form ad-hoc hypotheses, and iterate. This process misses pattern…