Jessy Lin

According to our database, Jessy Lin authored at least 10 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning to Model the World with Language.

Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca D. Dragan

CoRR, 2023

Decision-Oriented Dialogue for Human-AI Collaboration.

Jessy Lin, Nicholas Tomlin, Jacob Andreas, Jason Eisner

CoRR, 2023

InCoder: A Generative Model for Code Infilling and Synthesis.

Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Scott Yih, Luke Zettlemoyer, Mike Lewis

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

UniMASK: Unified Inference in Sequential Decision Problems.

Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin

CoRR, 2022

Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers.

Micah Carroll, Jessy Lin, Orr Paradise, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin

CoRR, 2022

Uni[MASK]: Unified Inference in Sequential Decision Problems.

Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Automatic Correction of Human Translations.

Jessy Lin, Geza Kovacs, Aditya Shastry, Joern Wuebker, John DeNero

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Inferring Rewards from Language in Context.

Jessy Lin, Daniel Fried, Dan Klein, Anca D. Dragan

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2018

Black-box Adversarial Attacks with Limited Queries and Information.

Andrew Ilyas, Logan Engstrom, Anish Athalye, Jessy Lin

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Query-Efficient Black-box Adversarial Examples.

Andrew Ilyas, Logan Engstrom, Anish Athalye, Jessy Lin

CoRR, 2017