Author

Anshuman Chhabra

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Jul 2026

A Systematic Evaluation of Traditional Privacy Policy Analysis Tools Against LLMs

The findings indicate that off-the-shelf LLMs can effectively perform a broad range of functionalities and tasks in privacy policy and regulation analysis that previously required specialized tools.

Madhav Aryal, Sudipa Saha, Sunil Manandhar et al. · arXiv.org · 0 citations

#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