Controlled visual and instruction perturbations expose large, systematic spatial-reasoning and scale brittleness in 7B GUI grounding models that standard fixed-scene benchmarks miss.
How do visual attributes influence web agents? a comprehensive evaluation of user interface design factors.arXiv preprint arXiv:2601.21961, 2026
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OpenWebRL trains a 4B visual web agent with online RL on live sites using 0.4K init trajectories and 2.2K RL tasks to reach 67% success on Online-Mind2Web and 64% on DeepShop, outperforming prior open agents.
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GUI-Perturbed: Domain Randomization Reveals Systematic Brittleness in GUI Grounding Models
Controlled visual and instruction perturbations expose large, systematic spatial-reasoning and scale brittleness in 7B GUI grounding models that standard fixed-scene benchmarks miss.
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OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents
OpenWebRL trains a 4B visual web agent with online RL on live sites using 0.4K init trajectories and 2.2K RL tasks to reach 67% success on Online-Mind2Web and 64% on DeepShop, outperforming prior open agents.