| Hierarchical graph network for multi-hop question answering Y Fang, S Sun, Z Gan, R Pillai, S Wang, J Liu EMNLP 2020, 2019 | 135 | 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 NAACL 2021, 2021 | 53 | 2021 |
| Contrastive Distillation on Intermediate Representations for Language Model Compression S Sun, Z Gan, Y Cheng, Y Fang, S Wang, J Liu EMNLP 2020, 2020 | 35 | 2020 |
| FILTER: An enhanced fusion method for cross-lingual language understanding Y Fang, S Wang, Z Gan, S Sun, J Liu AAAI 2021, 2020 | 29 | 2020 |
| Kg-fid: Infusing knowledge graph in fusion-in-decoder for open-domain question answering D Yu, C Zhu, Y Fang, W Yu, S Wang, Y Xu, X Ren, Y Yang, M Zeng ACL 2022, 2022 | 23 | 2022 |
| Stochastic answer networks for squad 2.0 X Liu, W Li, Y Fang, A Kim, K Duh, J Gao arXiv preprint arXiv:1809.09194, 2018 | 23 | 2018 |
| Training data is more valuable than you think: A simple and effective method by retrieving from training data S Wang, Y Xu, Y Fang, Y Liu, S Sun, R Xu, C Zhu, M Zeng ACL 2022, 2022 | 22 | 2022 |
| Dict-bert: Enhancing language model pre-training with dictionary W Yu, C Zhu, Y Fang, D Yu, S Wang, Y Xu, M Zeng, M Jiang Findings of ACL 2022, 2022 | 21 | 2022 |
| Joint retrieval and generation training for grounded text generation Y Zhang, S Sun, X Gao, Y Fang, C Brockett, M Galley, J Gao, B Dolan arXiv preprint arXiv:2105.06597, 2021 | 16 | 2021 |
| Cluster-former: Clustering-based sparse transformer for long-range dependency encoding S Wang, L Zhou, Z Gan, YC Chen, Y Fang, S Sun, Y Cheng, J Liu Findings of ACL 2021, 2020 | 15 | 2020 |
| Cross-Thought for Sentence Encoder Pre-training S Wang, Y Fang, S Sun, Z Gan, Y Cheng, J Jiang, J Liu EMNLP 2020, 2020 | 13 | 2020 |
| Cluster-former: Clustering-based sparse transformer for question answering S Wang, L Zhou, Z Gan, YC Chen, Y Fang, S Sun, Y Cheng, J Liu Findings of ACL 2021, 3958-3968, 2021 | 10 | 2021 |
| Does knowledge help general nlu? an empirical study R Xu, Y Fang, C Zhu, M Zeng arXiv preprint arXiv:2109.00563, 2021 | 6 | 2021 |
| i-code: An integrative and composable multimodal learning framework Z Yang, Y Fang, C Zhu, R Pryzant, D Chen, Y Shi, Y Xu, Y Qian, M Gao, ... arXiv preprint arXiv:2205.01818, 2022 | 5 | 2022 |
| Leveraging knowledge in multilingual commonsense reasoning Y Fang, S Wang, Y Xu, R Xu, S Sun, C Zhu, M Zeng Findings of ACL 2022, 2021 | 5 | 2021 |
| Accelerating real-time question answering via question generation Y Fang, S Wang, Z Gan, S Sun, J Liu, C Zhu arXiv preprint arXiv:2009.05167, 2020 | 5 | 2020 |
| RetGen: A Joint framework for Retrieval and Grounded Text Generation Modeling Y Zhang, S Sun, X Gao, Y Fang, C Brockett, M Galley, J Gao, B Dolan AAAI 2022, 2022 | 2 | 2022 |
| Retrieval Augmentation for Commonsense Reasoning: A Unified Approach W Yu, C Zhu, Z Zhang, S Wang, Z Zhang, Y Fang, M Jiang arXiv preprint arXiv:2210.12887, 2022 | 1 | 2022 |
| Unifying Vision, Text, and Layout for Universal Document Processing Z Tang, Z Yang, G Wang, Y Fang, Y Liu, C Zhu, M Zeng, C Zhang, ... arXiv preprint arXiv:2212.02623, 2022 | | 2022 |
| MACSum: Controllable Summarization with Mixed Attributes Y Zhang, Y Liu, Z Yang, Y Fang, Y Chen, D Radev, C Zhu, M Zeng, ... arXiv preprint arXiv:2211.05041, 2022 | | 2022 |
Shuohang WangSenior Researcher, MicrosoftVerified email at microsoft.com
