| 2021 | AFT | Dynamic posted-price mechanisms for the blockchain transaction-fee market. | Matheus V. X. Ferreira, Daniel J. Moroz, David C. Parkes, Mitchell Stern |
| 2020 | ACL | Semantic Scaffolds for Pseudocode-to-Code Generation. | Ruiqi Zhong, Mitchell Stern, Dan Klein |
| 2020 | EMNLP | An Empirical Study of Generation Order for Machine Translation. | William Chan, Mitchell Stern, Jamie Kiros, Jakob Uszkoreit |
| 2020 | EMNLP | Imitation Attacks and Defenses for Black-box Machine Translation Systems. | Eric Wallace, Mitchell Stern, Dawn Song |
| 2019 | ICML | Insertion Transformer: Flexible Sequence Generation via Insertion Operations. | Mitchell Stern, William Chan, Jamie Kiros, Jakob Uszkoreit |
| 2018 | ICML | Adafactor: Adaptive Learning Rates with Sublinear Memory Cost. | Noam Shazeer, Mitchell Stern |
| 2018 | NAACL | What's Going On in Neural Constituency Parsers? An Analysis. | David Gaddy, Mitchell Stern, Dan Klein |
| 2017 | ACL | Improving Neural Parsing by Disentangling Model Combination and Reranking Effects. | Daniel Fried, Mitchell Stern, Dan Klein |
| 2017 | ACL | Abstract Syntax Networks for Code Generation and Semantic Parsing. | Maxim Rabinovich, Mitchell Stern, Dan Klein |
| 2017 | ACL | A Minimal Span-Based Neural Constituency Parser. | Mitchell Stern, Jacob Andreas, Dan Klein |
| 2017 | EMNLP | Effective Inference for Generative Neural Parsing. | Mitchell Stern, Daniel Fried, Dan Klein |