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Shrestha Datta

2 papers indexed

arxivcs.LGcs.AI2026-07-12

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

Shrestha Datta, Hongfu Liu, Anshuman Chhabra

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 expli…

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arxivcs.CV2026-07-02

An Automated Multimodal Glaucoma Detection Framework Using ViT and a Stacking-Based Ensemble

Ishrat Jahan, Muhammad E. H Chowdhury, Murugappan Murugappan, Kanchon Kanti Podder, Tawsifur Rahman, Shrestha Datta, et al.

Glaucoma is a progressive eye disease that can lead to irreversible vision loss if not detected at an early stage. Conventional diagnostic procedures are often time-consuming and rely heavily on expert interpretation, limiting their scalability for large-scale screening. In this…

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