Graduating PhDs

Area of Research/Career Interest: NLP, Semantics, Transformers, Generative AI, Retrieval Augmented Generation

What is your research about?:
As Large Language Models (LLMs) pervade our world, developing their understanding of objects is imperative for success, especially when using LLMs in a high-stakes task with data and computational constraints, such as disaster relief missions. We propose methods for measuring and improving smaller, offline LLMs’ object reasoning capabilities. We develop an Affordance Ontology for describing various objects and their functionalities, as well as evaluation tasks for how well Masked Language Models can predict the object given a use case.