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Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, PR China
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Future-oriented reasoning in tabular question answering is now feasible with the introduction of a dataset and framework that outperforms existing LLM capabilities.
SlideAgent not only updates presentation slides with natural language instructions but also preserves their original design, setting a new standard for automated slide management.
HIRE-Agent's hierarchical architecture reveals that effective reasoning in real estate requires seamless integration of diverse data sources, challenging traditional single-step approaches.
