5 citations · 15 across the 17 of their papers we have counts for
11 papers · 1 filter
Academic case reports lack diversity: Assessing the presence and diversity of sociodemographic and behavioral factors related to Post COVID-19 Condition
Juan Andres Medina Florez, Shaina Raza, Rashida Lynn +3
Understanding the prevalence, disparities, and symptom variations of Post COVID-19 Condition (PCC) for vulnerable populations is crucial to improving care and addressing intersecti…
MBIAS: Mitigating Bias in Large Language Models While Retaining Context
Shaina Raza, Ananya Raval, Veronica Chatrath
The deployment of Large Language Models (LLMs) in diverse applications necessitates an assurance of safety without compromising the contextual integrity of the generated content. T…
FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections
Shaina Raza, Tahniat Khan, Veronica Chatrath +3
In today's technologically driven world, the rapid spread of fake news, particularly during critical events like elections, poses a growing threat to the integrity of information.…
Reliability Analysis of Psychological Concept Extraction and Classification in User-penned Text
Muskan Garg, MSVPJ Sathvik, Amrit Chadha +2
The social NLP research community witness a recent surge in the computational advancements of mental health analysis to build responsible AI models for a complex interplay between…
Analyzing the Impact of Fake News on the Anticipated Outcome of the 2024 Election Ahead of Time
Shaina Raza, Mizanur Rahman, Shardul Ghuge
Despite increasing awareness and research around fake news, there is still a significant need for datasets that specifically target racial slurs and biases within North American po…
FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training?
Shaina Raza, Shardul Ghuge, Chen Ding +2
The rapid evolution of Large Language Models (LLMs) highlights the necessity for ethical considerations and data integrity in AI development, particularly emphasizing the role of F…