| Ask me anything: Dynamic memory networks for natural language processing A Kumar, O Irsoy, J Su, J Bradbury, R English, B Pierce, P Ondruska, ... International Conference on Machine Learning (ICML), 2016 | 1480 | 2016 |
| Seq2SQL: Generating structured queries from natural language using reinforcement learning V Zhong, C Xiong, R Socher arXiv preprint arXiv:1709.00103, 2017 | 914 | 2017 |
| Position-aware Attention and Supervised Data Improve Slot Filling Y Zhang, V Zhong, D Chen, G Angeli, CD Manning Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017 | 784 | 2017 |
| Dynamic Coattention Networks For Question Answering C Xiong, V Zhong, R Socher International Conference on Learning Representations (ICLR), 2017 | 688 | 2017 |
| Global-Locally Self-Attentive Encoder for Dialogue State Tracking V Zhong, C Xiong, R Socher Annual Meeting of the Association for Computational Linguistics (ACL) 1 …, 2018 | 273* | 2018 |
| Multi-hop Reading Comprehension through Question Decomposition and Rescoring S Min, V Zhong, L Zettlemoyer, H Hajishirzi Annual Meeting of the Association for Computational Linguistics (ACL), 2019 | 197 | 2019 |
| Efficient and Robust Question Answering from Minimal Context over Documents S Min, V Zhong, R Socher, C Xiong Annual Meeting of the Association for Computational Linguistics (ACL), 2018 | 166 | 2018 |
| DCN+: Mixed Objective and Deep Residual Coattention for Question Answering C Xiong, V Zhong, R Socher International Conference on Learning Representations (ICLR), 2018 | 118 | 2018 |
| Generating dual sequence inferences using a neural network model V Zhong, C Xiong, R Socher US Patent 11,170,287, 2021 | 108 | 2021 |
| Unifiedskg: Unifying and multi-tasking structured knowledge grounding with text-to-text language models T Xie, CH Wu, P Shi, R Zhong, T Scholak, M Yasunaga, CS Wu, M Zhong, ... arXiv preprint arXiv:2201.05966, 2022 | 106 | 2022 |
| Dynamic coattention network for question answering C Xiong, V Zhong, R Socher US Patent 10,963,782, 2021 | 106 | 2021 |
| Neural network based translation of natural language queries to database queries V Zhong, C Xiong, R Socher US Patent 10,747,761, 2020 | 101 | 2020 |
| RTFM: Generalising to Novel Environment Dynamics via Reading V Zhong, T Rocktäschel, E Grefenstette International Conference on Learning Representations (ICLR), 2020 | 83 | 2020 |
| When not to trust language models: Investigating effectiveness of parametric and non-parametric memories A Mallen, A Asai, V Zhong, R Das, D Khashabi, H Hajishirzi Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 77* | 2023 |
| Question answering from minimal context over documents MIN Sewon, V Zhong, C Xiong, R Socher US Patent 11,227,218, 2022 | 72 | 2022 |
| Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering V Zhong, C Xiong, N Keskar, R Socher International Conference on Learning Representations (ICLR), 2019 | 72 | 2019 |
| Dialogue state tracking using a global-local encoder V Zhong, C Xiong US Patent 10,929,607, 2021 | 70 | 2021 |
| Grounded Adaptation for Zero-shot Executable Semantic Parsing V Zhong, M Lewis, SI Wang, L Zettlemoyer Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 | 70 | 2020 |
| Lingpeng Kong, Rui Zhang, Noah A T Xie, CH Wu, P Shi, R Zhong, T Scholak, M Yasunaga, CS Wu, M Zhong, ... Smith, Luke Zettlemoyer, and Tao Yu, 2022 | 67 | 2022 |
| LEWIS: Levenshtein editing for unsupervised text style transfer M Reid, V Zhong arXiv preprint arXiv:2105.08206, 2021 | 51 | 2021 |
Caiming XiongSalesforce ResearchVerified email at salesforce.com
