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cs.CL2026
Beyond Leaderboards: Tokenomics of Agentic Small Language Model Ensembles
Alexei N. Skurikhin, Emily M. Taylor, Nathan A. DeBardeleben
As large language models (LLMs) move from standalone assistants into agentic workflows, evaluation must extend beyond scalar leaderboard accuracy to account for operational reliabi…
cs.LG2026
From Benchmark Performance to Tool Deployment: Human-in-the-Loop Anomaly Detection
Mike Szklarzewski, CJ George, Gavin Smithson +10
Automated anomaly detection methods often report strong performance on curated academic benchmarks, but their behavior under real-world industrial conditions is less clear. In this…