Addressing semantic drift in question generation for semi-supervised question answering S Zhang, M Bansal Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 167 | 2019 |
Leakage-adjusted simulatability: Can models generate non-trivial explanations of their behavior in natural language? P Hase, S Zhang, H Xie, M Bansal Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 | 98 | 2020 |
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, 2022 | 97* | 2022 |
Flexible and creative chinese poetry generation using neural memory J Zhang, Y Feng, D Wang, Y Wang, A Abel, S Zhang, A Zhang Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 92 | 2017 |
Memory-augmented neural machine translation Y Feng, S Zhang, A Zhang, D Wang, A Abel Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 74 | 2017 |
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 | 68 | 2017 |
Finding a balanced degree of automation for summary evaluation S Zhang, M Bansal Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 41 | 2021 |
EmailSum: Abstractive email thread summarization S Zhang, A Celikyilmaz, J Gao, M Bansal Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 40 | 2021 |
Extractive is not faithful: An investigation of broad unfaithfulness problems in extractive summarization S Zhang, D Wan, M Bansal Proceedings of the 61st Annual Meeting of the Association for Computational …, 2022 | 26 | 2022 |
How can NLP help revitalize endangered languages? A case study and roadmap for the Cherokee language S Zhang, B Frey, M Bansal Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 26 | 2022 |
ChrEn: Cherokee-English machine translation for endangered language revitalization S Zhang, B Frey, M Bansal Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 24 | 2020 |
Deep Q-trading Y Wang, D Wang, S Zhang, Y Feng, S Li, Q Zhou cslt. riit. tsinghua. edu. cn, 2017 | 24 | 2017 |
Summarization programs: Interpretable abstractive summarization with neural modular trees S Saha, S Zhang, P Hase, M Bansal The International Conference on Learning Representations (ICLR). 2023., 2022 | 18 | 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, ... Proceedings of the 15th biennial conference of the Association for Machine …, 2022 | 15 | 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 | 15 | 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 | 14 | 2017 |
Mixce: Training autoregressive language models by mixing forward and reverse cross-entropies S Zhang, S Wu, O Irsoy, S Lu, M Bansal, M Dredze, D Rosenberg Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 10 | 2023 |
Continuous language generative flow Z Tang, S Zhang, H Kim, M Bansal Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 7 | 2021 |
ChrEnTranslate: cherokee-english machine translation demo with quality estimation and corrective feedback S Zhang, B Frey, M Bansal Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 7 | 2021 |
Histalign: Improving context dependency in language generation by aligning with history D Wan, S Zhang, M Bansal Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 6 | 2023 |