most citedEvaluation of Google Translate for Mandarin Chinese translation using sentiment and semantic analysis

3 citations · 10 across the 18 of their papers we have counts for

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cs.CL2025

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…

cs.CL2025★ 1 cited

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…

cs.CL2025

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…

cs.CL2024★ 3 cited

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…

cs.CL2024

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)…

cs.CL2024★ 2 cited

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…

cs.CL2024★ 2 cited

Large language model for Bible sentiment analysis: Sermon on the Mount

Mahek Vora, Tom Blau, Vansh Kachhwal +2

The revolution of natural language processing via large language models has motivated its use in multidisciplinary areas that include social sciences and humanities and more specif…