2 papers
cs.LG2025
Leveraging Language Models for Analyzing Longitudinal Experiential Data in Education
Ahatsham Hayat, Bilal Khan, Mohammad Rashedul Hasan
We propose a novel approach to leveraging pre-trained language models (LMs) for early forecasting of academic trajectories in STEM students using high-dimensional longitudinal expe…
cs.CL2025
A Context-Aware Approach for Enhancing Data Imputation with Pre-trained Language Models
Ahatsham Hayat, Mohammad Rashedul Hasan
This paper presents a novel approach named \textbf{C}ontextually \textbf{R}elevant \textbf{I}mputation leveraging pre-trained \textbf{L}anguage \textbf{M}odels (\textbf{CRILM}) for…