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q-bio.QM2025
Investigating the effectiveness of multimodal data in forecasting SARS-COV-2 case surges
Palur Venkata Raghuvamsi, Siyuan Brandon Loh, Prasanta Bhattacharya +4
The COVID-19 pandemic response relied heavily on statistical and machine learning models to predict key outcomes such as case prevalence and fatality rates. These predictions were…
cs.CL2025
Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models
Prasanta Bhattacharya, Hong Zhang, Yiming Cao +4
Stance detection has emerged as a popular task in natural language processing research, enabled largely by the abundance of target-specific social media data. While there has been…