| 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 | 1464 | 2016 |
| Seq2SQL: Generating structured queries from natural language using reinforcement learning V Zhong, C Xiong, R Socher arXiv preprint arXiv:1709.00103, 2017 | 864 | 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 | 743 | 2017 |
| Dynamic Coattention Networks For Question Answering C Xiong, V Zhong, R Socher International Conference on Learning Representations (ICLR), 2017 | 678 | 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 | 266* | 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 | 187 | 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 | 163 | 2018 |
| DCN+: Mixed Objective and Deep Residual Coattention for Question Answering C Xiong, V Zhong, R Socher International Conference on Learning Representations (ICLR), 2018 | 117 | 2018 |
| Generating dual sequence inferences using a neural network model V Zhong, C Xiong, R Socher US Patent 11,170,287, 2021 | 103 | 2021 |
| Dynamic coattention network for question answering C Xiong, V Zhong, R Socher US Patent 10,963,782, 2021 | 100 | 2021 |
| Neural network based translation of natural language queries to database queries V Zhong, C Xiong, R Socher US Patent 10,747,761, 2020 | 95 | 2020 |
| 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 | 90 | 2022 |
| RTFM: Generalising to Novel Environment Dynamics via Reading V Zhong, T Rocktäschel, E Grefenstette International Conference on Learning Representations (ICLR), 2020 | 78 | 2020 |
| 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 |
| Question answering from minimal context over documents MIN Sewon, V Zhong, C Xiong, R Socher US Patent 11,227,218, 2022 | 66 | 2022 |
| Dialogue state tracking using a global-local encoder V Zhong, C Xiong US Patent 10,929,607, 2021 | 66 | 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 | 66 | 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 | 56 | 2022 |
| LEWIS: Levenshtein editing for unsupervised text style transfer M Reid, V Zhong arXiv preprint arXiv:2105.08206, 2021 | 46 | 2021 |
| Bootstrapped self training for knowledge base population G Angeli, V Zhong, D Chen, A Chaganty, J Bolton, MJ Premkumar, ... Text Analysis Conference (TAC), 2015 | 44 | 2015 |
Caiming XiongSalesforce ResearchVerified email at salesforce.com
