2 citations · 10 across the 26 of their papers we have counts for
7 papers · 1 filter
CBEval: A framework for evaluating and interpreting cognitive biases in LLMs
Ammar Shaikh, Raj Abhijit Dandekar, Sreedath Panat +1
Rapid advancements in Large Language models (LLMs) has significantly enhanced their reasoning capabilities. Despite improved performance on benchmarks, LLMs exhibit notable gaps in…
Scientific machine learning in ecological systems: A study on the predator-prey dynamics
Ranabir Devgupta, Raj Abhijit Dandekar, Rajat Dandekar +1
In this study, we apply two pillars of Scientific Machine Learning: Neural Ordinary Differential Equations (Neural ODEs) and Universal Differential Equations (UDEs) to the Lotka Vo…
A comparative study of NeuralODE and Universal ODE approaches to solving Chandrasekhar White Dwarf equation
Raymundo Vazquez Martinez, Raj Abhijit Dandekar, Rajat Dandekar +1
In this study, we apply two pillars of Scientific Machine Learning: Neural Ordinary Differential Equations (Neural ODEs) and Universal Differential Equations (UDEs) to the Chandras…
A Scientific Machine Learning Approach for Predicting and Forecasting Battery Degradation in Electric Vehicles
Sharv Murgai, Hrishikesh Bhagwat, Raj Abhijit Dandekar +2
Carbon emissions are rising at an alarming rate, posing a significant threat to global efforts to mitigate climate change. Electric vehicles have emerged as a promising solution, b…
Modeling chaotic Lorenz ODE System using Scientific Machine Learning
Sameera S Kashyap, Raj Abhijit Dandekar, Rajat Dandekar +1
In climate science, models for global warming and weather prediction face significant challenges due to the limited availability of high-quality data and the difficulty in obtainin…
Evaluating Cultural Awareness of LLMs for Yoruba, Malayalam, and English
Fiifi Dawson, Zainab Mosunmola, Sahil Pocker +3
Although LLMs have been extremely effective in a large number of complex tasks, their understanding and functionality for regional languages and cultures are not well studied. In t…
HULLMI: Human vs LLM identification with explainability
Prathamesh Dinesh Joshi, Sahil Pocker, Raj Abhijit Dandekar +2
As LLMs become increasingly proficient at producing human-like responses, there has been a rise of academic and industrial pursuits dedicated to flagging a given piece of text as "…