| Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work? Y Pruksachatkun, J Phang, H Liu, PM Htut, X Zhang, RY Pang, C Vania, ... Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 173 | 2020 |
| Consistency of a Recurrent Language Model With Respect to Incomplete Decoding S Welleck, I Kulikov, J Kim, RY Pang, K Cho Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 39 | 2020 |
| ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation L Tu, RY Pang, S Wiseman, K Gimpel Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 37 | 2020 |
| Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer RY Pang, K Gimpel Proceedings of the 3rd Workshop on Neural Generation and Translation, 138-147, 2019 | 27* | 2019 |
| Text Generation by Learning from Demonstrations RY Pang, H He International Conference on Learning Representations 2021, 2021 | 21 | 2021 |
| QuALITY: Question Answering with Long Input Texts, Yes! RY Pang, A Parrish, N Joshi, N Nangia, J Phang, A Chen, V Padmakumar, ... Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 17* | 2022 |
| Comparing Test Sets with Item Response Theory C Vania, PM Htut, W Huang, D Mungra, RY Pang, J Phang, H Liu, K Cho, ... Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 14 | 2021 |
| The Daunting Task of Real-World Textual Style Transfer Auto-Evaluation RY Pang arXiv preprint arXiv:1910.03747, 2019 | 14* | 2019 |
| Improving Joint Training of Inference Networks and Structured Prediction Energy Networks L Tu, RY Pang, K Gimpel Proceedings of the 4th Workshop on Structured Prediction for NLP, 62-73, 2020 | 8 | 2020 |
| AgreeSum: Agreement-Oriented Multi-Document Summarization RY Pang, AD Lelkes, VQ Tran, C Yu Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 7 | 2021 |
| Token Dropping for Efficient BERT Pretraining L Hou, RY Pang, T Zhou, Y Wu, X Song, X Song, D Zhou Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 5 | 2022 |
| SQuALITY: Building a Long-Document Summarization Dataset the Hard Way A Wang, RY Pang, A Chen, J Phang, SR Bowman Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 3 | 2022 |
| What Do NLP Researchers Believe? Results of the NLP Community Metasurvey J Michael, A Holtzman, A Parrish, A Mueller, A Wang, A Chen, D Madaan, ... arXiv preprint arXiv:2208.12852, 2022 | 2 | 2022 |
| Amortized Noisy Channel Neural Machine Translation RY Pang, H He, K Cho Proceedings of the 15th International Conference on Natural Language Generation, 2022 | 1 | 2022 |
| Reward Gaming in Conditional Text Generation RY Pang, V Padmakumar, T Sellam, AP Parikh, H He arXiv preprint arXiv:2211.08714, 2022 | | 2022 |
| Electronic device for obtaining sentence corresponding to context information and operating method thereof Y Choi, KIM Jaedeok, I Kulikov, S Welleck, P Yuanzhe, CHO KyungHyun US Patent App. 17/077,874, 2021 | | 2021 |
Samuel R. BowmanAssociate Professor, NYUVerified email at nyu.edu
