2 citations · 4 across the 3 of their papers we have counts for
3 papers
Domain Specific Benchmarks for Evaluating Multimodal Large Language Models
Khizar Anjum, Muhammad Arbab Arshad, Kadhim Hayawi +10
Large language models (LLMs) are increasingly being deployed across disciplines due to their advanced reasoning and problem solving capabilities. To measure their effectiveness, va…
From Predictive Importance to Causality: Which Machine Learning Model Reflects Reality?
Muhammad Arbab Arshad, Pallavi Kandanur, Saurabh Sonawani +2
This study analyzes the Ames Housing Dataset using CatBoost and LightGBM models to explore feature importance and causal relationships in housing price prediction. We examine the c…
Putting GPT-4o to the Sword: A Comprehensive Evaluation of Language, Vision, Speech, and Multimodal Proficiency
Sakib Shahriar, Brady Lund, Nishith Reddy Mannuru +5
As large language models (LLMs) continue to advance, evaluating their comprehensive capabilities becomes significant for their application in various fields. This research study co…