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This work formalizes task-agnostic environment preprocessing, in which a studying system explores an environment under a budget and produces artifacts for a frozen solver, and compares unaided and archive-equipped meta-agents with fixed synthetic-practice and corpus-processing methods across six heterogeneous benchmark...
Reliable Enterprise Agent Deployment (READY), a framework for qualifying AI agents for deployment on enterprise workflows, and provides a basis for comparing agent systems, setting oversight requirements, and making evidence-based deployment decisions.
CliniCARE-Bench is the first deployment-oriented clinical-agent benchmark to jointly evaluate real longitudinal EHR investigation, claim-level evidence grounding, governing-policy use, process adherence, and calibrated abstention within a common patient-level adjudication framework.
This work evaluates 5 frontier LLMs as optimizers both under a shared coding harness and under their native harnesses across 4 downstream tasks, and establishes harness optimization as a measurable and discriminative capability with large space for improvement.
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