| Machine Comprehension Using Match-LSTM and Answer Pointer S Wang, J Jiang International Conference on Learning Representations (ICLR 2017), 2017 | 600 | 2017 |
| Learning Natural Language Inference with LSTM S Wang, J Jiang The 15th Annual Conference of the North American Chapter of the Association …, 2016 | 472 | 2016 |
| R3: Reinforced Ranker-Reader for Open-Domain Question Answering S Wang, M Yu, X Guo, Z Wang, T Klinger, W Zhang, S Chang, G Tesauro, ... The 32nd AAAI Conference on Artificial Intelligence (AAAI), 2018 | 332 | 2018 |
| A Compare-Aggregate Model for Matching Text Sequences S Wang, J Jiang International Conference on Learning Representations (ICLR 2017), 2017 | 285 | 2017 |
| Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering S Wang, M Yu, J Jiang, W Zhang, X Guo, S Chang, Z Wang, T Klinger, ... International Conference on Learning Representations (ICLR 2018), 2018 | 174 | 2018 |
| Hierarchical Graph Network for Multi-hop Question Answering Y Fang, S Sun, Z Gan, R Pillai, S Wang, J Liu arXiv preprint arXiv:1911.03631, 2019 | 145 | 2019 |
| An empirical study of training end-to-end vision-and-language transformers ZY Dou, Y Xu, Z Gan, J Wang, S Wang, L Wang, C Zhu, P Zhang, L Yuan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 103 | 2022 |
| A Co-Matching Model for Multi-choice Reading Comprehension S Wang, M Yu, S Chang, J Jiang Annual Meeting of the Association for Computational Linguistics (ACL), 2018 | 97 | 2018 |
| InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective B Wang, S Wang, Y Cheng, Z Gan, R Jia, B Li, J Liu arXiv preprint arXiv:2010.02329, 2020 | 65 | 2020 |
| Multi-Fact Correction in Abstractive Text Summarization Y Dong, S Wang, Z Gan, Y Cheng, JCK Cheung, J Liu arXiv preprint arXiv:2010.02443, 2020 | 63 | 2020 |
| Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives Y Tay, S Wang, LA Tuan, J Fu, MC Phan, X Yuan, J Rao, SC Hui, A Zhang Annual Meeting of the Association for Computational Linguistics (ACL), 2019 | 63 | 2019 |
| Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks Y Tay, A Zhang, LA Tuan, J Rao, S Zhang, S Wang, J Fu, SC Hui Annual Meeting of the Association for Computational Linguistics (ACL), 2019 | 60 | 2019 |
| LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval S Sun, YC Chen, L Li, S Wang, Y Fang, J Liu Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 58 | 2021 |
| EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets X Chen, Y Cheng, S Wang, Z Gan, Z Wang, J Liu arXiv preprint arXiv:2101.00063, 2020 | 49 | 2020 |
| UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training M Zhou, L Zhou, S Wang, Y Cheng, L Li, Z Yu, J Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 46 | 2021 |
| T3: Tree-Autoencoder Regularized Adversarial Text Generation for Targeted Attack B Wang, H Pei, B Pan, Q Chen, S Wang, B Li Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 46* | 2020 |
| Knowledge Base Question Answering with Topic Units Y Lan, S Wang, J Jiang Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 41 | 2019 |
| What does BERT Learn from Multiple-Choice Reading Comprehension Datasets? C Si, S Wang, MY Kan, J Jiang arXiv preprint arXiv:1910.12391, 2019 | 40 | 2019 |
| Knowledge Base Question Answering With a Matching-Aggregation Model and Question-Specific Contextual Relations Y Lan, S Wang, J Jiang IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (10 …, 2019 | 39 | 2019 |
| Contrastive Distillation on Intermediate Representations for Language Model Compression S Sun, Z Gan, Y Cheng, Y Fang, S Wang, J Liu arXiv preprint arXiv:2009.14167, 2020 | 37 | 2020 |
Jing JiangSchool of Computing and Information Systems, Singapore Management UniversityVerified email at smu.edu.sg
