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Paper · arXiv

StressWeb: A Diagnostic Benchmark for Web Agent Robustness under Realistic Interaction Variability

Large language model-based web agents have demonstrated strong performance on realistic web interaction tasks. However, existing evaluations are predominantly conducted under relatively stable and well-behaved interaction conditions, which may overestimate agent robustness. High task success in such idealized settings does not necessarily reflect performance under realistic web interaction. To address this limitation, we introduce a diagnostic stress-testing benchmark for web agents. We first construct realistic and controllable web environments that provide clean and stable interaction workflows as reference baselines. We then introduce structured and controlled perturbations that emulat...

AuthorsHaoyue Bai, Dong Wang, Long Chen et al.
Primary categorycs.SE
Published27 March 2026
Last updated at source27 March 2026
cs.SEcs.AI
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