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Victor Zhong
Victor Zhong
Assistant Professor at the University of Waterloo
Verified email at victorzhong.com - Homepage
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Cited by
Cited by
Year
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
15212016
Seq2SQL: Generating structured queries from natural language using reinforcement learning
V Zhong, C Xiong, R Socher
arXiv preprint arXiv:1709.00103, 2017
10222017
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
8892017
Dynamic Coattention Networks For Question Answering
C Xiong, V Zhong, R Socher
International Conference on Learning Representations (ICLR), 2017
7132017
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
288*2018
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, ...
Conference on Empirical Methods in Natural Language Processing, 2022
231*2022
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
2252019
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
1722018
DCN+: Mixed Objective and Deep Residual Coattention for Question Answering
C Xiong, V Zhong, R Socher
International Conference on Learning Representations (ICLR), 2018
1252018
Generating dual sequence inferences using a neural network model
V Zhong, C Xiong, R Socher
US Patent 11,170,287, 2021
1222021
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
arXiv preprint arXiv:2212.10511, 2022
1202022
Dynamic coattention network for question answering
C Xiong, V Zhong, R Socher
US Patent 10,963,782, 2021
1152021
Neural network based translation of natural language queries to database queries
V Zhong, C Xiong, R Socher
US Patent 10,747,761, 2020
1112020
RTFM: Generalising to Novel Environment Dynamics via Reading
V Zhong, T Rocktäschel, E Grefenstette
International Conference on Learning Representations (ICLR), 2020
832020
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
802020
Dialogue state tracking using a global-local encoder
V Zhong, C Xiong
US Patent 10,929,607, 2021
772021
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
742019
When not to trust language models: Investigating effectiveness and limitations of parametric and non-parametric memories
A Mallen, A Asai, V Zhong, R Das, H Hajishirzi, D Khashabi
arXiv preprint arXiv:2212.10511 7, 2022
692022
LEWIS: Levenshtein editing for unsupervised text style transfer
M Reid, V Zhong
Findings of the Annual Meeting of the Association for Computational Linguistics, 2021
602021
Improving intrinsic exploration with language abstractions
J Mu, V Zhong, R Raileanu, M Jiang, N Goodman, T Rocktäschel, ...
Advances in Neural Information Processing Systems 35, 33947-33960, 2022
472022
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