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Kezhi Kong

OpenTab: Advancing Large Language Models as Open-domain Table Reasoners

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Feb 22, 2024
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On the Reliability of Watermarks for Large Language Models

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Jun 30, 2023
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VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization

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Oct 27, 2021
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Insta-RS: Instance-wise Randomized Smoothing for Improved Robustness and Accuracy

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Mar 21, 2021
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GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training

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Feb 16, 2021
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SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations

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Dec 08, 2020
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FLAG: Adversarial Data Augmentation for Graph Neural Networks

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Oct 19, 2020
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Data Augmentation for Meta-Learning

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Oct 14, 2020
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