6 papers · 1 filter
Machine Learning for Detection and Analysis of Novel LLM Jailbreaks
John Hawkins, Aditya Pramar, Rodney Beard +1
Large Language Models (LLMs) suffer from a range of vulnerabilities that allow malicious users to solicit undesirable responses through manipulation of the input text. These so-cal…
HP-BERT: A framework for longitudinal study of Hinduphobia on social media via language models
Ashutosh Singh, Rohitash Chandra
During the COVID-19 pandemic, community tensions intensified, contributing to discriminatory sentiments against various religious groups, including Hindu communities. Recent advanc…
An evaluation of LLMs and Google Translate for translation of selected Indian languages via sentiment and semantic analyses
Rohitash Chandra, Aryan Chaudhari, Yeshwanth Rayavarapu
Large Language models (LLMs) have been prominent for language translation, including low-resource languages. There has been limited study on the assessment of the quality of transl…
Large language models for newspaper sentiment analysis during COVID-19: The Guardian
Rohitash Chandra, Baicheng Zhu, Qingying Fang +1
During the COVID-19 pandemic, the news media coverage encompassed a wide range of topics that includes viral transmission, allocation of medical resources, and government response…
Evaluation of Google Translate for Mandarin Chinese translation using sentiment and semantic analysis
Xuechun Wang, Rodney Beard, Rohitash Chandra
Machine translation using large language models (LLMs) is having a significant global impact, making communication easier. Mandarin Chinese is the official language used for commun…
A longitudinal sentiment analysis of Sinophobia during COVID-19 using large language models
Chen Wang, Rohitash Chandra
The COVID-19 pandemic has exacerbated xenophobia, particularly Sinophobia, leading to widespread discrimination against individuals of Chinese descent. Large language models (LLMs)…