| 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 | 1352 | 2016 |
| Seq2SQL: Generating structured queries from natural language using reinforcement learning V Zhong, C Xiong, R Socher arXiv preprint arXiv:1709.00103, 2017 | 720 | 2017 |
| Dynamic Coattention Networks For Question Answering C Xiong, V Zhong, R Socher International Conference on Learning Representations (ICLR), 2017 | 643 | 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 | 592 | 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 | 238* | 2018 |
| 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 | 152 | 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 | 137 | 2019 |
| DCN+: Mixed Objective and Deep Residual Coattention for Question Answering C Xiong, V Zhong, R Socher International Conference on Learning Representations (ICLR), 2018 | 104 | 2018 |
| Dynamic coattention network for question answering C Xiong, V Zhong, R Socher US Patent 10,963,782, 2021 | 68 | 2021 |
| Neural network based translation of natural language queries to database queries V Zhong, C Xiong, R Socher US Patent 10,747,761, 2020 | 61 | 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 | 60 | 2019 |
| RTFM: Generalising to Novel Environment Dynamics via Reading V Zhong, T Rocktäschel, E Grefenstette International Conference on Learning Representations (ICLR), 2020 | 58 | 2020 |
| 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 | 49 | 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 | 44 | 2022 |
| Bootstrapped self training for knowledge base population G Angeli, V Zhong, D Chen, A Chaganty, J Bolton, MJ Premkumar, ... Text Analysis Conference (TAC), 2015 | 42 | 2015 |
| Dialogue state tracking using a global-local encoder V Zhong, C Xiong US Patent 10,929,607, 2021 | 41 | 2021 |
| LEWIS: Levenshtein editing for unsupervised text style transfer M Reid, V Zhong arXiv preprint arXiv:2105.08206, 2021 | 28 | 2021 |
| E3: Entailment-driven Extracting and Editing for Conversational Machine Reading V Zhong, L Zettlemoyer Annual Meeting of the Association for Computational Linguistics (ACL), 2019 | 20 | 2019 |
| Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning AW Hanjie, V Zhong, K Narasimhan International Conference on Machine Learning (ICML), 2021 | 17 | 2021 |
| Improving intrinsic exploration with language abstractions J Mu, V Zhong, R Raileanu, M Jiang, N Goodman, T Rocktäschel, ... arXiv preprint arXiv:2202.08938, 2022 | 15 | 2022 |
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