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New EvoCowork benchmark tests AI agents on real-world office tasks

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced EvoCowork, a new benchmark designed to evaluate self-improving AI agents in real-world office tasks. The benchmark comprises 240 tasks across four modalities: presentations, documents, spreadsheets, and cross-office workflows. EvoCowork assesses submitted artifacts for content accuracy, structural integrity, formula correctness, inter-file consistency, and visual quality. Initial evaluations show that while agents can improve performance on specific feedback-providing tasks, these gains do not always transfer to coordinated, cross-office workflows. AI

IMPACT This benchmark could drive progress in AI agents capable of performing complex, multi-step office tasks with greater reliability and transferability.

RANK_REASON The cluster contains an academic paper introducing a new benchmark for AI agents. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New EvoCowork benchmark tests AI agents on real-world office tasks

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The cluster contains an academic paper introducing a new benchmark for AI agents. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Zhou Liu, Xingyan Chen, ZhaoYang Han, Zewei Pan, Zeli Su, Ningxin Pan, Xue Hu, Kaixiong Ting, Wentao Zhang ·

    EvoCowork: A Benchmark for Real-World Office Tasks

    arXiv:2610.14828v1 Announce Type: new Abstract: Office workflows are a demanding testbed for self-improving agents because their deliverables must be correct, natively editable, and mutually consistent. A central question is whether gains on feedback tasks reflect reusable proced…

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