44 citations · 52 across the 8 of their papers we have counts for
8 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.…
NeuroLit Navigator: A Neurosymbolic Approach to Scholarly Article Searches for Systematic Reviews
Vedant Khandelwal, Kaushik Roy, Valerie Lookingbill +4
The introduction of Large Language Models (LLMs) has significantly impacted various fields, including education, for example, by enabling the creation of personalized learning mate…
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…
Neurosymbolic AI for Enhancing Instructability in Generative AI
Amit Sheth, Vishal Pallagani, Kaushik Roy
Generative AI, especially via Large Language Models (LLMs), has transformed content creation across text, images, and music, showcasing capabilities in following instructions throu…
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)
Vishal Pallagani, Kaushik Roy, Bharath Muppasani +7
Automated Planning and Scheduling is among the growing areas in Artificial Intelligence (AI) where mention of LLMs has gained popularity. Based on a comprehensive review of 126 pap…
GEAR-Up: Generative AI and External Knowledge-based Retrieval Upgrading Scholarly Article Searches for Systematic Reviews
Kaushik Roy, Vedant Khandelwal, Harshul Surana +3
Systematic reviews (SRs) - the librarian-assisted literature survey of scholarly articles takes time and requires significant human resources. Given the ever-increasing volume of p…
Neurosymbolic Value-Inspired AI (Why, What, and How)
Amit Sheth, Kaushik Roy
The rapid progression of Artificial Intelligence (AI) systems, facilitated by the advent of Large Language Models (LLMs), has resulted in their widespread application to provide hu…
RDR: the Recap, Deliberate, and Respond Method for Enhanced Language Understanding
Yuxin Zi, Hariram Veeramani, Kaushik Roy +1
Natural language understanding (NLU) using neural network pipelines often requires additional context that is not solely present in the input data. Through Prior research, it has b…