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Weiran Huang

Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training

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Sep 25, 2024
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Can I understand what I create? Self-Knowledge Evaluation of Large Language Models

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Jun 10, 2024
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A Statistical Theory of Regularization-Based Continual Learning

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Jun 10, 2024
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Unveiling the Dynamics of Information Interplay in Supervised Learning

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Jun 06, 2024
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Provable Contrastive Continual Learning

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May 29, 2024
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BreakGPT: A Large Language Model with Multi-stage Structure for Financial Breakout Detection

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Feb 12, 2024
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ChemLLM: A Chemical Large Language Model

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Feb 10, 2024
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The Information of Large Language Model Geometry

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Feb 01, 2024
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Large Language Model Evaluation via Matrix Entropy

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Jan 30, 2024
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Efficient Few-Shot Clinical Task Adaptation with Large Language Models

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Dec 12, 2023
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