Projects
A collection of my research and development work
Inferencing Mental Attitudes with LLMs
Evaluating the ability of Large Language Models to infer mental attitudes (beliefs, desires, intentions) from text.
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CLEAVER: Hierarchical Text Partitioning
A novel, hierarchical approach to English text categorization and partitioning focusing on independent semantic value.
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Mental Inferencing Machine
A computational framework combining hierarchical GNNs and LLMs for dynamic cognitive modeling.
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Editory
An LLM-integrated writing assistant that helps users improve their writing through AI-powered suggestions.
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Memory Modeling with HGNNs
Advanced approaches to modeling memory processes in reading comprehension using hierarchical architectures.
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NSF GRFP: Interpretable Reading Comprehension
Research proposal focusing on dynamic prediction of reading comprehension using hierarchical graph neural networks.
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