| Machine Comprehension Using Match-LSTM and Answer Pointer S Wang, J Jiang International Conference on Learning Representations (ICLR 2017), 2017 | 627 | 2017 |
| Learning Natural Language Inference with LSTM S Wang, J Jiang The 15th Annual Conference of the North American Chapter of the Association …, 2016 | 499 | 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 | 354 | 2018 |
| A Compare-Aggregate Model for Matching Text Sequences S Wang, J Jiang International Conference on Learning Representations (ICLR 2017), 2017 | 305 | 2017 |
| 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 | 196 | 2022 |
| 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 | 189 | 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 | 178 | 2019 |
| 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 | 103 | 2018 |
| 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 | 89 | 2020 |
| 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 | 85 | 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 | 82 | 2019 |
| Want To Reduce Labeling Cost? GPT-3 Can Help S Wang, Y Liu, Y Xu, C Zhu, M Zeng arXiv preprint arXiv:2108.13487, 2021 | 69 | 2021 |
| 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 | 69 | 2021 |
| 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 | 66 | 2019 |
| Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models B Wang, C Xu, S Wang, Z Gan, Y Cheng, J Gao, AH Awadallah, B Li arXiv preprint arXiv:2111.02840, 2021 | 65 | 2021 |
| GPTEval: NLG Evaluation using GPT-4 with Better Human Alignment Y Liu, D Iter, Y Xu, S Wang, R Xu, C Zhu arXiv preprint arXiv:2303.16634, 2023 | 63 | 2023 |
| 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 | 62 | 2021 |
| Clip-event: Connecting text and images with event structures M Li, R Xu, S Wang, L Zhou, X Lin, C Zhu, M Zeng, H Ji, SF Chang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 61 | 2022 |
| 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 | 59 | 2020 |
| 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 | 57* | 2020 |
Chenguang ZhuPrincipal Research Manager at Microsoft ResearchVerified email at microsoft.com
