Query-Efficient Black-box Adversarial Examples. - Andrew Ilyas; Logan Engstrom; Anish Athalye; Jessy Lin (CoRR, 2017)

Black-box Adversarial Attacks with Limited Queries and Information. - Andrew Ilyas; Logan Engstrom; Anish Athalye; Jessy Lin (ICML, 2018)

Inferring Rewards from Language in Context. - Jessy Lin; Daniel Fried; Dan Klein 001; Anca D. Dragan (ACL (1), 2022)

Automatic Correction of Human Translations. - Jessy Lin; Geza Kovacs; Aditya Shastry; Joern Wuebker; John DeNero (NAACL-HLT, 2022)

Uni[MASK]: Unified Inference in Sequential Decision Problems. - Micah Carroll; Orr Paradise; Jessy Lin; Raluca Georgescu; Mingfei Sun 001; David Bignell; Stephanie Milani; Katja Hofmann; Matthew J. Hausknecht; Anca D. Dragan; Sam Devlin (NeurIPS, 2022)

Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers. - Micah Carroll; Jessy Lin; Orr Paradise; Raluca Georgescu; Mingfei Sun 001; David Bignell; Stephanie Milani; Katja Hofmann; Matthew J. Hausknecht; Anca D. Dragan; Sam Devlin (CoRR, 2022)

UniMASK: Unified Inference in Sequential Decision Problems. - Micah Carroll; Orr Paradise; Jessy Lin; Raluca Georgescu; Mingfei Sun 001; David Bignell; Stephanie Milani; Katja Hofmann; Matthew J. Hausknecht; Anca D. Dragan; Sam Devlin (CoRR, 2022)

InCoder: A Generative Model for Code Infilling and Synthesis. - Daniel Fried; Armen Aghajanyan; Jessy Lin; Sida Wang 001; Eric Wallace; Freda Shi; Ruiqi Zhong; Scott Yih; Luke Zettlemoyer; Mike Lewis (ICLR, 2023)

Learning to Model the World With Language. - Jessy Lin; Yuqing Du; Olivia Watkins; Danijar Hafner; Pieter Abbeel; Dan Klein 001; Anca D. Dragan (ICML, 2024)

CLARINET: Augmenting Language Models to Ask Clarification Questions for Retrieval. - Yizhou Chi; Jessy Lin; Kevin Lin; Dan Klein 001 (CoRR, 2024)

Decision-Oriented Dialogue for Human-AI Collaboration. - Jessy Lin; Nicholas Tomlin; Jacob Andreas; Jason Eisner (Trans. Assoc. Comput. Linguistics, 2024)