I'm interested in developing
human-centered language technologies.
Our Minnesota NLP group's current research is focused on building human-centric NLP systems by learning from human perception, interaction, and disagreements:
-
Scaffold LLMs with human cognition by learning from annotated explanations, eye-tracking, feedback, or instructions
-
Improve productivity of scientific reading, writing, and reviewing with interactive and collaborative NLP systems
-
Build inclusive and individualized NLP systems by learning from disagreements among humans
Interactive and collaborative NLP systems
Generation, discourse, and planning
Perception, interpretability, and styles
Diversity, data, inclusion, and bias
Others