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Shaina Raza

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MBIAS: Mitigating Bias in Large Language Models While Retaining Context

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May 22, 2024
Shaina Raza, Ananya Raval, Veronica Chatrath

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Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives

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May 09, 2024
Emrul Hasan, Mizanur Rahman, Chen Ding, Jimmy Xiangji Huang, Shaina Raza

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Developing Safe and Responsible Large Language Models -- A Comprehensive Framework

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Apr 01, 2024
Shaina Raza, Oluwanifemi Bamgbose, Shardul Ghuge, Fatemeh Tavakoli, Deepak John Reji

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Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions

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Mar 27, 2024
Zainab Al-Zanbouri, Gauri Sharma, Shaina Raza

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FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections

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Mar 14, 2024
Shaina Raza, Tahniat Khan, Drai Paulen-Patterson, Veronica Chatrath, Mizanur Rahman, Oluwanifemi Bamgbose

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FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training?

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Jan 23, 2024
Shaina Raza, Shardul Ghuge, Chen Ding, Deval Pandya

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Progress in Privacy Protection: A Review of Privacy Preserving Techniques in Recommender Systems, Edge Computing, and Cloud Computing

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Jan 20, 2024
Syed Raza Bashir, Shaina Raza, Vojislav Misic

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Reliability Analysis of Psychological Concept Extraction and Classification in User-penned Text

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Jan 12, 2024
Muskan Garg, MSVPJ Sathvik, Amrit Chadha, Shaina Raza, Sunghwan Sohn

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Navigating News Narratives: A Media Bias Analysis Dataset

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Dec 07, 2023
Shaina Raza

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Analyzing the Influence of Fake News in the 2024 Elections: A Comprehensive Dataset

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Dec 01, 2023
Mizanur Rahman, Shaina Raza

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