GATOR

GATOR is a 2.5-year IBM funded research project to prototype a new type of task-oriented human-machine dialogue system that uses deep learning technologies (such as transformers) to learn how to conduct a dialogue to achieve the maximum success in the agent’s given objective while also maintaining the highest possible level of user satisfaction. I worked on this project from September 2022 to February 2023. I joined on the tail-end of the project so much of my focus was on conducting human evaluations. Specifically, we were comparing self-play and bot-bot evaluations to human evaluations. A paper I co-authored, "Towards a Proper Evaluation of Automated Conversational Systems", was published in the AHFE International 2023 conference in July 2023.