2022

1. Can Rationalization Improve Robustness? Howard Chen, Jacqueline He, Karthik Narasimhan, and Danqi Chen In Proceedings of the Annual Conference of the North American Association for Computational Linguistics (NAACL) 2022 [pdf]
2. WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents Shunyu Yao*, Howard Chen*, John Yang, and Karthik Narasimhan In Advances in Neural Information Processing Systems (NeurIPS) 2022 [pdf]
3. Controllable Text Generation with Language Constraints Howard Chen, Huihan Li, Danqi Chen, and Karthik Narasimhan arXiv preprint [pdf]

2021

1. Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems Derek Chen, Howard Chen, Yi Yang, Alex Lin, and Zhou Yu In Proceedings of the Annual Conference of the North American Association for Computational Linguistics (NAACL) 2021 [pdf]
2. Non-Parametric Few-Shot Learning for Word Sense Disambiguation Howard Chen, Mengzhou Xia, and Danqi Chen In Proceedings of the Annual Conference of the North American Association for Computational Linguistics (NAACL) 2021 [pdf]

2020

1. Interactive Classification by Asking Informative Questions Lili Yu, Howard Chen, Sida I. Wang, Tao Lei, and Yoav Artzi In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL) 2020 [pdf]
2. Autoregressive Knowledge Distillation through Imitation Learning Alexander Lin, Jeremy Wohlwend, Howard Chen, and Tao Lei In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) 2020 [pdf]

2019

1. Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments Howard Chen, Alane Suhr, Dipendra Misra, Noah Snavely, and Yoav Artzi In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019 [pdf] [poster] [code] [data]