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City University of Hong Kong
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Early decision-making in multimodal reasoning can cut inference time without sacrificing accuracy, thanks to a novel dual evaluation of model competencies.
Traditional Top-K metrics fail to capture true user preferences, but the LLM-as-a-Judge framework offers a semantic approach that enhances both reliability and explainability in recommendation evaluations.
Transforming raw data into interactive narrative videos, DataMagic bridges the gap between data analysis and storytelling, enhancing how insights are communicated.