I’m interested in building agents that can collaborate and interact with humans, and use language as a medium to do so. Currently, I’m excited about interactive code generation models, dialog, and language-guided RL.
Previously, I worked on research and product at Lilt, exploring these questions in the context of human-in-the-loop machine translation (based on my experiences there, I wrote an essay about interesting directions for human-in-the-loop ML in industry). I graduated with a double-major in computer science and philosophy from MIT, where I did research on human-inspired AI with the Computational Cognitive Science Group, advised by Kelsey Allen and Josh Tenenbaum, and adversarial examples / machine learning security as a founding member of labsix. I also spent a great summer with the Natural Language Understanding group at Google Research NY, advised by David Weiss.
Daniel Fried*, Armen Aghajanyan*, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Wen-tau Yih, Luke Zettlemoyer, Mike Lewis
Jessy Lin, Geza Kovacs, Aditya Shastry, Joern Wuebker, John DeNero
NAACL 2022. Best Task Paper, Best Resource Paper, Best Theme Paper Honorable Mention.
Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew Hausknecht, Anca Dragan, Sam Devlin
NeurIPS 2022, Generalizable Policy Learning in the Physical World, ICLR 2022.
Jessy Lin, Daniel Fried, Dan Klein, Anca Dragan