DocOps: A Verifiable Benchmark for Autonomous Agents in Complex Document Operations

As autonomous agents rapidly evolve, their ability to reliably manipulate ubiquitous digital documents has become critical for enabling general-purpose AI assistants and automating complex workspace workflows. In this paper, we introduce DocOps, a deterministically verifiable evaluation framework underpinned by a hierarchical taxonomy that deconstructs document operations inspired by real-world practices into atomic dimensions and escalating workflow complexities. Based on DocOps, we systematica

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ethics.ai (21 July 2026), “DocOps: A Verifiable Benchmark for Autonomous Agents in Complex Document Operations,” evidence record 13028, https://ethics.ai/record/13028 (originally published by HuggingFace Daily Papers).

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