| Addressing semantic drift in question generation for semi-supervised question answering S Zhang, M Bansal arXiv preprint arXiv:1909.06356, 2019 | 141 | 2019 |
| Flexible and creative chinese poetry generation using neural memory J Zhang, Y Feng, D Wang, Y Wang, A Abel, S Zhang, A Zhang arXiv preprint arXiv:1705.03773, 2017 | 81 | 2017 |
| Memory-augmented neural machine translation Y Feng, S Zhang, A Zhang, D Wang, A Abel arXiv preprint arXiv:1708.02005, 2017 | 69 | 2017 |
| Leakage-adjusted simulatability: Can models generate non-trivial explanations of their behavior in natural language? P Hase, S Zhang, H Xie, M Bansal arXiv preprint arXiv:2010.04119, 2020 | 61 | 2020 |
| Memory visualization for gated recurrent neural networks in speech recognition Z Tang, Y Shi, D Wang, Y Feng, S Zhang 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 59 | 2017 |
| Emailsum: Abstractive email thread summarization S Zhang, A Celikyilmaz, J Gao, M Bansal arXiv preprint arXiv:2107.14691, 2021 | 25 | 2021 |
| Deep Q-trading Y Wang, D Wang, S Zhang, Y Feng, S Li, Q Zhou cslt. riit. tsinghua. edu. cn, 2017 | 25 | 2017 |
| Finding a balanced degree of automation for summary evaluation S Zhang, M Bansal arXiv preprint arXiv:2109.11503, 2021 | 21 | 2021 |
| ChrEn: Cherokee-English machine translation for endangered language revitalization S Zhang, B Frey, M Bansal arXiv preprint arXiv:2010.04791, 2020 | 18 | 2020 |
| Evaluating the factual consistency of large language models through summarization D Tam, A Mascarenhas, S Zhang, S Kwan, M Bansal, C Raffel arXiv preprint arXiv:2211.08412, 2022 | 16 | 2022 |
| How can NLP help revitalize endangered languages? a case study and roadmap for the Cherokee language S Zhang, B Frey, M Bansal arXiv preprint arXiv:2204.11909, 2022 | 14 | 2022 |
| Medical diagnosis from laboratory tests by combining generative and discriminative learning S Zhang, P Xie, D Wang, EP Xing arXiv preprint arXiv:1711.04329, 2017 | 13 | 2017 |
| M2ASR: Ambitions and first year progress D Wang, TF Zheng, Z Tang, Y Shi, L Li, S Zhang, H Yu, G Li, S Xu, ... 2017 20th Conference of the Oriental Chapter of the International …, 2017 | 13 | 2017 |
| Evaluating the factual consistency of large language models through news summarization D Tam, A Mascarenhas, S Zhang, S Kwan, M Bansal, C Raffel Findings of the Association for Computational Linguistics: ACL 2023, 5220-5255, 2023 | 11 | 2023 |
| Summarization programs: Interpretable abstractive summarization with neural modular trees S Saha, S Zhang, P Hase, M Bansal arXiv preprint arXiv:2209.10492, 2022 | 10 | 2022 |
| Extractive is not faithful: An investigation of broad unfaithfulness problems in extractive summarization S Zhang, D Wan, M Bansal arXiv preprint arXiv:2209.03549, 2022 | 9 | 2022 |
| How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training? S Zhang, V Chaudhary, N Goyal, J Cross, G Wenzek, M Bansal, ... arXiv preprint arXiv:2204.14268, 2022 | 8 | 2022 |
| Memory-augmented Chinese-Uyghur neural machine translation S Zhang, G Mahmut, D Wang, A Hamdulla 2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017 | 6 | 2017 |
| ChrEnTranslate: cherokee-english machine translation demo with quality estimation and corrective feedback S Zhang, B Frey, M Bansal arXiv preprint arXiv:2107.14800, 2021 | 5 | 2021 |
| Enhanced neural machine translation by learning from draft A Li, S Zhang, D Wang, TF Zheng 2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017 | 5 | 2017 |
Mohit BansalParker Professor, Computer Science, UNC Chapel HillE-mailová adresa ověřena na: cs.unc.edu
