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University of California
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Current GUI world models often produce visually appealing screens but lack the contextual consistency needed for effective multi-step agent interactions.
Training on synthetically generated data can significantly boost both the diversity and quality of commonsense reasoning in LLMs, outperforming models trained on scarce human-annotated data.
