3 citations · 3 across the 5 of their papers we have counts for
5 papers
CANDI: Contextual Alignment for Niche Domains Question Answering
Megha Chakraborty, Darssan L. Eswaramoorthi, Het Riteshkumar Shah +5
The deployment of large language models (LLMs) in specialized domains like medical diagnostics and financial advisory necessitates evaluating capabilities beyond general knowledge.…
Machine Learning-Based Graph Simplification for Symbolic Accelerators
Tiffany Yu, Rye Stahle-Smith, Darssan Eswaramoorthi +1
Graph-based accelerators have been widely adopted in symbolic data processing applications such as genomics, cybersecurity, and artificial intelligence. However, these systems ofte…
PAL: Personal Adaptive Learner
Megha Chakraborty, Darssan L. Eswaramoorthi, Madhur Thareja +5
AI-driven education platforms have made some progress in personalisation, yet most remain constrained to static adaptation--predefined quizzes, uniform pacing, or generic feedback-…
SmartPilot: A Multiagent CoPilot for Adaptive and Intelligent Manufacturing
Chathurangi Shyalika, Renjith Prasad, Alaa Al Ghazo +4
In the dynamic landscape of Industry 4.0, achieving efficiency, precision, and adaptability is essential to optimize manufacturing operations. Industries suffer due to supply chain…
Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case
Kaushik Roy, Harshul Surana, Darssan Eswaramoorthi +4
Large language models (LLMs) are increasingly attracting the attention of healthcare professionals for their potential to assist in diagnostic assessments, which could alleviate th…