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CoverSynth makes coverage and evidence quality explicit construction objectives, producing corpus-grounded evaluations that reveal retrieval headroom and differences between agent configurations that reveal unseen failure modes such as an inability of agents to handle underspecified or ambiguous requests.
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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