4 papers
Target-Checked Reliability Score Refinement for Video Question Answering
Guoxiang Ren, Rohitash Chandra
Video-language models can answer multiple-choice questions with high confidence yet be wrong. We study whether answer-level reliability scores can be improved under target shift wi…
Language models for longitudinal analysis of abusive content in Billboard Music Charts
Rohitash Chandra, Yathin Suresh, Divyansh Raj Sinha +1
There is no doubt that there has been a drastic increase in abusive and sexually explicit content in music, particularly in Billboard Music Charts. However, there is a lack of stud…
Compact Bayesian Neural Networks via pruned MCMC sampling
Ratneel Deo, Scott Sisson, Jody M. Webster +1
Bayesian Neural Networks (BNNs) offer robust uncertainty quantification in model predictions, but training them presents a significant computational challenge. This is mainly due t…
Longitudinal Abuse and Sentiment Analysis of Hollywood Movie Dialogues using Language Models
Rohitash Chandra, Guoxiang Ren, Group-H
Over the past decades, there has been an increase in the prevalence of abusive and violent content in Hollywood movies. In this study, we use language models to explore the longitu…