Author

Hongfu Liu

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#machine learning Preprint Jul 2026

Weight-Adjusted Gradients Reveal Parameter Importance and Failure Modes in LLMs

Understanding which parameters are influential in Large Language Models (LLMs) is central to improving their efficiency, reliability, and interpretability. We introduce Weight-Adjusted Gradients (WAG), a simple yet effective approach for estimating parameter importance that explicitly captures the interaction between m...

Shrestha Datta, Hongfu Liu, Anshuman Chhabra · 2 citations · ⚡1