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LocalLSTC reveals that organizing control information temporally can drastically improve the performance of GUI agents, achieving over 64% success rates where previous models faltered.
LLMs can achieve state-of-the-art unsupervised multimodal entity linking by reasoning over diverse evidence types, including graph-based neighborhood information.
