11 citations · 12 across the 8 of their papers we have counts for
4 papers · 1 filter
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-Adju…
An Automated Multimodal Glaucoma Detection Framework Using ViT and a Stacking-Based Ensemble
Ishrat Jahan, Muhammad E. H Chowdhury, Murugappan Murugappan +7
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 r…
BanglaIPA: Towards Robust Text-to-IPA Transcription with Contextual Rewriting in Bengali
Jakir Hasan, Shrestha Datta, Md Saiful Islam +2
Despite its widespread use, Bengali lacks a robust automated International Phonetic Alphabet (IPA) transcription system that effectively supports both standard language and regiona…
Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis
Shrestha Datta, Hongfu Liu, Anshuman Chhabra
Knowledge editing in Large Language Models (LLMs) aims to update the model's prediction for a specific query to a desired target while preserving its behavior on all other inputs.…