Analyzing the Impact of Fake News on the Anticipated Outcome of the 2024 Election Ahead of Time. - Shaina Raza; Mizanur Rahman; Shardul Ghuge (CoRR, 2023)

Dataset Annotation and Model Building for Identifying Biases in News Narratives. - Shaina Raza; Mizanur Rahman; Shardul Ghuge (Text2Story@ECIR, 2024)

FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training? - Shaina Raza; Shardul Ghuge; Chen Ding 004; Deval Pandya (CoRR, 2024)

Developing Safe and Responsible Large Language Models - A Comprehensive Framework. - Shaina Raza; Oluwanifemi Bamgbose; Shardul Ghuge; Fatemeh Tavakoli; Deepak John Reji (CoRR, 2024)

FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for Large Language Model Training? - Shaina Raza; Shardul Ghuge; Chen Ding 004; Elham Dolatabadi; Deval Pandya (Data Intell., 2024)

Unlocking Bias Detection: Leveraging Transformer-Based Models for Content Analysis. - Shaina Raza; Oluwanifemi Bamgbose; Veronica Chatrath; Shardul Ghuge; Yan Sidyakin; Abdullah Yahya Mohammed Muaad (IEEE Trans. Comput. Soc. Syst., 2024)

Developing safe and responsible large language model: can we balance bias reduction and language understanding? - Shaina Raza; Oluwanifemi Bamgbose; Shardul Ghuge; Fatemeh Tavakoli; Deepak John Reji; Syed Raza Bashir (Mach. Learn., 2025)