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cua-speedrun: Standardized Benchmarking of the Speed of Computer-Use Agents

Paper recorded by Signals 4 on 2026-09-30 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-30 on arXiv · recorded by Signals 4 on 2026-10-01

Category: cs.AI · 人工智能 · first seen 2026-10-01

Abstract

Computer use agents (CUAs), which use graphical user interfaces (GUIs) to complete tasks on a computer, have recently surpassed human performance on many standard benchmarks, including difficult long-horizon tasks. Their capabilities are undoubtedly impressive, however, a key barrier to the widespread adoption and deployment of CUAs remains their speed and cost. Progress towards faster yet capable

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#13 most recent of 480 cs.AI papers we have recorded · ↑ newer: PivotOPD: Learning to Recover from Pivotal Mistakes in Multi-Turn Agen · ↓ older: Belief-Aware Multi-Agent Path Finding under Map Uncertainty
Cite this page: cua-speedrun: Standardized Benchmarking of the Speed of Computer-Use Agents: the #13 most recent of 480 cs.AI papers we have recorded (as of 2026-09-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cua-speedrun-standardized-benchmarking-of-the-speed-of-computer-use-agents.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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