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Nanyang Technological University
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LLM judges are swayed by style, mistaking it for substance, but a new framework can significantly mitigate this bias.
Even the best vision-language models struggle to reliably set fine-grained GUI states, achieving only 33% accuracy on a new benchmark, but targeted visual hints suggest a clear path to improvement.
