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Intent Prediction and User Preference Modeling in Conversational Search and Recommendation
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Simultaneous Dimensionality Reduction for Extracting Useful Representations of Large Empirical Multimodal Datasets
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Examining the Association Between Midlife Obesity and Cognitive Impairment in a Longitudinal Population-Based Cohort
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Novel Machine Learning Methods for Genomic Data Analysis
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Learning Structured Knowledge from Real-World Data without Excessive Annotations
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CodeCuddle: Automating Inclusive Web Design with Large Language Model
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When Large Language Models Meet Religious Text
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Reinforcement Learning with Manifold Optimization
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A Flask Framework for Visual Attention-Prompted Prediction
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Enriching Open-Domain Dialogue Models with Predictive Social Commonsense
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