Biography

Jiao Sun is a Computer Science Ph.D. candidate at the University of Southern California. She is advised by Professor Xuezhe (Max) Ma, and collaborates closely with Professor Nanyun (Violet) Peng and Swabha Swayamdipta. Her works on trustworthy Natural Language Generation have appeared in top NLP and HCI conferences, including a best paper recommendation at ACL 2021 and a best paper honorable mention at CHI 2022. She did research internships at Amazon Alexa AI, Google Research and IBM Research in the past. Before coming to USC, she finished her master's at Tsinghua University. Jiao focuses on trustworthy Natural Language Generation (NLG) during her Ph.D. More specifically, she builds controlled text generation models and enhances the robustness of NLG systems. Along this line, she also works on proposing better text generation evaluation metrics and investigating fairness problems. When there is a need to understand human perception, Jiao never hesitates to bring humans in the loop to better understand the utility of NLG systems.

Research Interests

What does being an Amazon ML Fellow mean to you?

Words cannot express how excited I am to be an Amazon ML fellow! It is a great recognition and encouragement for me to continue working on trustworthy text generation. We have always been surprised about fluent and human-like text that models could generate, but we should enhance the control to produce more reliable and fair content. With the fellowship, I hope we can push one step further towards improving and applying state-of-the-art text generation models in fruitful use cases that Amazon could provide!