Tianyi is an Applied Research Scientist in the Emerging Technologies Lab at ServiceNow Research. She has a background in Computer Science and Natural Language Processing. At ServiceNow Research, her research has focused on using Bayesian methods to estimate uncertainty in structured sequence generation with large language models (LLMs). On the applied side, she works on data augmentation and uses LLMs to disambiguate user input for a Product team. Her current research interest is in LLMs, uncertainty and text2code. Tianyi holds a master’s degree in Computer Science and AI. Prior to joining ServiceNow, she was at Element AI working on various text embedding/signal extraction tasks using language models. Tianyi also has experience in AI consultancy on AI adoption for non-tech clients.