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Han Yu

Establishing Reliability Metrics for Reward Models in Large Language Models

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Apr 21, 2025
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Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients

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Apr 17, 2025
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Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study

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Mar 19, 2025
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Uncertainty-Aware Explainable Federated Learning

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Mar 07, 2025
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Can Textual Gradient Work in Federated Learning?

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Feb 27, 2025
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Sample Weight Averaging for Stable Prediction

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Feb 11, 2025
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Error Slice Discovery via Manifold Compactness

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Jan 31, 2025
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GAQAT: gradient-adaptive quantization-aware training for domain generalization

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Dec 07, 2024
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Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data

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Nov 22, 2024
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Learning from "Silly" Questions Improves Large Language Models, But Only Slightly

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Nov 21, 2024
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