3 citations · 3 across the 3 of their papers we have counts for
4 papers
Chatsparent: An Interactive System for Detecting and Mitigating Cognitive Fatigue in LLMs
Riju Marwah, Vishal Pallagani, Ritvik Garimella +1
LLMs are increasingly being deployed as chatbots, but today's interfaces offer little to no friction: users interact through seamless conversations that conceal when the model is d…
DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization
Renjith Prasad, Abhilekh Borah, Hasnat Md Abdullah +9
Alignment is crucial for text-to-image (T2I) models to ensure that generated images faithfully capture user intent while maintaining safety and fairness. Direct Preference Optimiza…
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…