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OmegaUse-OfficeVal: Benchmarking LLM Agents on Long-Horizon Office-Suite Tasks with Economic Grounding

7 upvotes · 29 JUL 2026 · Jingbo Zhou, Yusai Zhao, Qi Bao et al.

This paper introduces a benchmark to evaluate large language model (LLM) agents on long-horizon office-suite tasks, considering their cost-effectiveness and quality. Practitioners can care about this research because it aims to ensure LLM agents can assist users efficiently and effectively.

office-suite tasksLLM agentseconomic groundingbenchmarkinghuman labor