| A simple language model for task-oriented dialogue E Hosseini-Asl, B McCann, CS Wu, S Yavuz, R Socher NeurIPS 2020, 2020 | 279 | 2020 |
| Lingvo: a modular and scalable framework for sequence-to-sequence modeling J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ... arXiv preprint arXiv:1902.08295, 2019 | 161 | 2019 |
| Taskmaster-1: Toward a realistic and diverse dialog dataset B Byrne, K Krishnamoorthi, C Sankar, A Neelakantan, D Duckworth, ... EMNLP 2019 [arXiv preprint arXiv:1909.05358], 2019 | 144 | 2019 |
| Monotonic infinite lookback attention for simultaneous machine translation N Arivazhagan, C Cherry, W Macherey, CC Chiu, S Yavuz, R Pang, W Li, ... ACL 2019 [arXiv preprint arXiv:1906.05218], 2019 | 141 | 2019 |
| Deepcopy: Grounded response generation with hierarchical pointer networks S Yavuz, A Rastogi, GL Chao, D Hakkani-Tur SIGDial 2019 [arXiv preprint arXiv:1908.10731], 2019 | 75 | 2019 |
| Dialsql: Dialogue based structured query generation I Gür, S Yavuz, Y Su, X Yan Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 63 | 2018 |
| Improving semantic parsing via answer type inference S Yavuz, I Gür, Y Su, M Srivatsa, X Yan Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 56 | 2016 |
| CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers S Li*, S Yavuz*, K Hashimoto, J Li, T Niu, N Rajani, X Yan, Y Zhou, ... ICLR 2021 [arXiv preprint arXiv:2010.12850], 2021 | 44 | 2021 |
| Global relation embedding for relation extraction Y Su, H Liu, S Yavuz, I Gur, H Sun, X Yan NAACL 2018 [arXiv preprint arXiv:1704.05958], 2017 | 38 | 2017 |
| What it takes to achieve 100% condition accuracy on WikiSQL S Yavuz, I Gür, Y Su, X Yan Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 25 | 2018 |
| RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering X Ye, S Yavuz, K Hashimoto, Y Zhou, C Xiong ACL 2022 [arXiv preprint arXiv:2109.08678], 2021 | 21 | 2021 |
| Neural assistant: Joint action prediction, response generation, and latent knowledge reasoning A Neelakantan*, S Yavuz*, S Narang*, V Prasad, B Goodrich, ... NeurIPS 2019, 3rd Conversational AI workshop [arXiv preprint arXiv:1910.14613], 2019 | 13 | 2019 |
| Hiercon: Hierarchical organization of technical documents based on concepts K Li, S Li, S Yavuz, H Zha, Y Su, X Yan 2019 IEEE International Conference on Data Mining (ICDM), 379-388, 2019 | 10 | 2019 |
| Unsupervised paraphrase generation via dynamic blocking T Niu, S Yavuz, Y Zhou, H Wang, NS Keskar, C Xiong arXiv preprint arXiv:2010.12885, 2020 | 9 | 2020 |
| Recovering question answering errors via query revision S Yavuz, I Gür, Y Su, X Yan Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 9 | 2017 |
| Unsupervised paraphrasing with pretrained language models T Niu, S Yavuz, Y Zhou, NS Keskar, H Wang, C Xiong arXiv preprint arXiv:2010.12885, 2020 | 8 | 2020 |
| Choose your qa model wisely: A systematic study of generative and extractive readers for question answering M Luo, K Hashimoto, S Yavuz, Z Liu, C Baral, Y Zhou arXiv preprint arXiv:2203.07522, 2022 | 7 | 2022 |
| Stage-wise fine-tuning for graph-to-text generation Q Wang, S Yavuz, V Lin, H Ji, N Rajani arXiv preprint arXiv:2105.08021, 2021 | 6 | 2021 |
| Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors L Tang, T Goyal, AR Fabbri, P Laban, J Xu, S Yavuz, W Kryściński, ... arXiv preprint arXiv:2205.12854, 2022 | 5 | 2022 |
| CaLcs: Continuously approximating longest common subsequence for sequence level optimization S Yavuz, CC Chiu, P Nguyen, Y Wu Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 5 | 2018 |
Yingbo ZhouSenior Research Director, Salesforce ResearchZweryfikowany adres z salesforce.com
