A collection of my academic research and publications
A novel, hierarchical approach to English text categorization and partitioning that focuses on independent semantic value, distinguishing itself from traditional syntactic parsers.
View PaperAn evaluation of the ability of Large Language Models to infer mental attitudes (beliefs, desires, intentions) from text, a crucial component of human cognition.
View PaperResearch on developing transparent deep learning architectures that can model human cognitive processes while remaining interpretable to researchers.
View PaperAn exploration of how students integrate AI tools into their writing processes and the implications for education and assessment.
View PaperA research proposal focused on developing interpretable AI models for reading comprehension that provide insights into both machine and human understanding.
View PaperResearch on using graph-based neural networks to model and infer human mental representations from text and discourse.
View Paper