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Zhaowei Zhu

Reassessing Layer Pruning in LLMs: New Insights and Methods

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Nov 23, 2024
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Improving Data Efficiency via Curating LLM-Driven Rating Systems

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Oct 09, 2024
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Label Smoothing Improves Machine Unlearning

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Jun 11, 2024
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FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning

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Mar 25, 2024
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Fair Classifiers Without Fair Training: An Influence-Guided Data Sampling Approach

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Feb 20, 2024
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Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models

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Nov 19, 2023
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Fairness Improves Learning from Noisily Labeled Long-Tailed Data

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Mar 22, 2023
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Evaluating Fairness Without Sensitive Attributes: A Framework Using Only Auxiliary Models

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Oct 06, 2022
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To Aggregate or Not? Learning with Separate Noisy Labels

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Jun 14, 2022
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Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features

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Feb 02, 2022
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