| Deeppath: A reinforcement learning method for knowledge graph reasoning W Xiong, T Hoang, WY Wang Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 596 | 2017 |
| Look before you leap: Bridging model-free and model-based reinforcement learning for planned-ahead vision-and-language navigation X Wang*, W Xiong*, H Wang, WY Wang Proceedings of the European Conference on Computer Vision (ECCV), 37-53, 2018 | 199 | 2018 |
| One-shot relational learning for knowledge graphs W Xiong, M Yu, S Chang, X Guo, WY Wang EMNLP 2018, 2018 | 181 | 2018 |
| Pretrained encyclopedia: Weakly supervised knowledge-pretrained language model W Xiong, J Du, WY Wang, V Stoyanov International Conference on Learning Representations, 2020, 2019 | 180 | 2019 |
| Hybridqa: A dataset of multi-hop question answering over tabular and textual data W Chen, H Zha, Z Chen, W Xiong, H Wang, W Wang EMNLP 2020 Findings, 2020 | 149 | 2020 |
| Variational knowledge graph reasoning W Chen, W Xiong, X Yan, W Wang arXiv preprint arXiv:1803.06581, 2018 | 121 | 2018 |
| Improving question answering over incomplete kbs with knowledge-aware reader W Xiong, M Yu, S Chang, X Guo, WY Wang arXiv preprint arXiv:1905.07098, 2019 | 119 | 2019 |
| Answering complex open-domain questions with multi-hop dense retrieval W Xiong, XL Li, S Iyer, J Du, P Lewis, WY Wang, Y Mehdad, W Yih, ... International Conference on Learning Representations, 2021, 2020 | 102* | 2020 |
| Sentence embedding alignment for lifelong relation extraction H Wang, W Xiong, M Yu, X Guo, S Chang, WY Wang arXiv preprint arXiv:1903.02588, 2019 | 73 | 2019 |
| Self-supervised learning for contextualized extractive summarization H Wang, X Wang, W Xiong, M Yu, X Guo, S Chang, WY Wang arXiv preprint arXiv:1906.04466, 2019 | 58 | 2019 |
| TWEETQA: A social media focused question answering dataset W Xiong, J Wu, H Wang, V Kulkarni, M Yu, S Chang, X Guo, WY Wang arXiv preprint arXiv:1907.06292, 2019 | 54 | 2019 |
| Learning to learn and predict: A meta-learning approach for multi-label classification J Wu, W Xiong, WY Wang arXiv preprint arXiv:1909.04176, 2019 | 49 | 2019 |
| Unsupervised multi-hop question answering by question generation L Pan, W Chen, W Xiong, MY Kan, WY Wang NAACL 2021, 2020 | 43 | 2020 |
| Imposing label-relational inductive bias for extremely fine-grained entity typing W Xiong, J Wu, D Lei, M Yu, S Chang, X Guo, WY Wang arXiv preprint arXiv:1903.02591, 2019 | 43 | 2019 |
| Do multi-hop readers dream of reasoning chains? H Wang, M Yu, X Guo, R Das, W Xiong, T Gao arXiv preprint arXiv:1910.14520, 2019 | 29 | 2019 |
| Scrolls: Standardized comparison over long language sequences U Shaham, E Segal, M Ivgi, A Efrat, O Yoran, A Haviv, A Gupta, W Xiong, ... EMNLP 2022, 2022 | 22 | 2022 |
| Zero-shot fact verification by claim generation L Pan, W Chen, W Xiong, MY Kan, WY Wang arXiv preprint arXiv:2105.14682, 2021 | 20 | 2021 |
| xFormers: A modular and hackable Transformer modelling library B Lefaudeux, F Massa, D Liskovich, W Xiong, V Caggiano, S Naren, M Xu, ... | 14 | 2021 |
| Progressively pretrained dense corpus index for open-domain question answering W Xiong, H Wang, WY Wang EACL 2021, 2020 | 12 | 2020 |
| Simple Local Attentions Remain Competitive for Long-Context Tasks W Xiong, B Oğuz, A Gupta, X Chen, D Liskovich, O Levy, W Yih, ... NAACL 2022, 2021 | 11 | 2021 |
William Yang WangMellichamp Chair Professor, University of California, Santa BarbaraVerified email at cs.ucsb.edu
