| Hierarchical graph network for multi-hop question answering Y Fang, S Sun, Z Gan, R Pillai, S Wang, J Liu EMNLP 2020, 2019 | 221 | 2019 |
| 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 | 106 | 2022 |
| 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 | 102 | 2022 |
| 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 | 86 | 2021 |
| 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, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 74 | 2023 |
| 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 | 69 | 2022 |
| Contrastive Distillation on Intermediate Representations for Language Model Compression S Sun, Z Gan, Y Cheng, Y Fang, S Wang, J Liu EMNLP 2020, 2020 | 67 | 2020 |
| Panda-70m: Captioning 70m videos with multiple cross-modality teachers TS Chen, A Siarohin, W Menapace, E Deyneka, H Chao, BE Jeon, Y Fang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 46 | 2024 |
| FILTER: An enhanced fusion method for cross-lingual language understanding Y Fang, S Wang, Z Gan, S Sun, J Liu AAAI 2021, 2020 | 45 | 2020 |
| 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, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10880 …, 2023 | 37 | 2023 |
| 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 | 30 | 2022 |
| 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 | 30 | 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 | 26 | 2021 |
| 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 | 24 | 2018 |
| 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 | 22 | 2021 |
| Cross-Thought for Sentence Encoder Pre-training S Wang, Y Fang, S Sun, Z Gan, Y Cheng, J Jiang, J Liu EMNLP 2020, 2020 | 19 | 2020 |
| 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 | 18 | 2022 |
| Snap video: Scaled spatiotemporal transformers for text-to-video synthesis W Menapace, A Siarohin, I Skorokhodov, E Deyneka, TS Chen, A Kag, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 16 | 2024 |
| 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 | 16 | 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 | 14 | 2020 |
Shuohang WangPrincipal Researcher, Microsoft GenAIVerified email at microsoft.com
