Computer-use agents (CUAs) are commonly evaluated against fixed task specifications, but users may omit requirements, add constraints, or require approval before consequential actions. Completing the
PersonaCUABench reveals that computer-use agents frequently fail to satisfy real user requirements and constraints, reducing task completion and satisfaction compared to fixed benchmark instructions.
Computer-use agents (CUAs) are commonly evaluated against fixed task specifications, but users may omit requirements, add constraints, or require approval before consequential actions. Completing the benchmark instruction does not guarantee serving the person who asked. We introduce PersonaCUABench, which holds 74 tasks across 11 domains fixed and varies only who asks. A persona agent, playing one of 44 personas in four groups, rewrites each instruction in that user's own words and answers the CUA's questions, while the CUA sees only the dialogue, never the profile or the original instruction. Across nine backbones (3,330 runs), mean task completion falls by 36% relative to the original…
Summary and abstract excerpt via Hugging Face Papers ↗ · arXiv.
PersonaCUABench: Benchmarking Computer-Use Agents Serving Diverse Personas was first seen on Hugging Face · Daily papers on Oct 30, 2026. Since then it has appeared in 37 checks on 4 different days. Its best position was #12 of 30, reached on Oct 30, 05:28 UTC. It dropped off the list after Nov 2, 03:28 UTC.
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Not at the moment. It was last on the list on Nov 2, 03:28 UTC, after 4 days of trending.
#12 on Hugging Face · Daily papers, on Oct 30, 05:28 UTC. Trendoday checks this list every 120 minutes.
It was first seen on Oct 30, 2026 and has been on the list on 4 days (37 checks) since.