| Enhancing factual consistency of abstractive summarization C Zhu, W Hinthorn, R Xu, Q Zeng, M Zeng, X Huang, M Jiang 2021 Conference of the North American Chapter of the Association for …, 2021 | 126* | 2021 |
| A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining C Zhu, R Xu, M Zeng, X Huang 2020 Conference on Empirical Methods in Natural Language Processing …, 2020 | 99* | 2020 |
| Unsupervised cross-lingual transfer of word embedding spaces R Xu, Y Yang, N Otani, Y Wu Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 87 | 2018 |
| Cross-lingual Distillation for Text Classification R Xu, Y Yang Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 78 | 2017 |
| Cross-lingual alignment vs joint training: A comparative study and a simple unified framework Z Wang, J Xie, R Xu, Y Yang, G Neubig, J Carbonell International Conference on Learning Representations 2019, 2019 | 61 | 2019 |
| 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 | 43 | 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 arXiv preprint arXiv:2203.08773, 2022 | 38 | 2022 |
| Predicting performance for natural language processing tasks M Xia, A Anastasopoulos, R Xu, Y Yang, G Neubig Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 33 | 2020 |
| Leveraging multilingual training for limited resource event extraction A Hsi, Y Yang, JG Carbonell, R Xu Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 32 | 2016 |
| Fusing context into knowledge graph for commonsense question answering Y Xu, C Zhu, R Xu, Y Liu, M Zeng, X Huang arXiv preprint arXiv:2012.04808, 2020 | 29 | 2020 |
| Formality style transfer with hybrid textual annotations R Xu, T Ge, F Wei arXiv preprint arXiv:1903.06353, 2019 | 27 | 2019 |
| 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 | 24 | 2023 |
| Language models with image descriptors are strong few-shot video-language learners Z Wang, M Li, R Xu, L Zhou, J Lei, X Lin, S Wang, Z Yang, C Zhu, ... arXiv preprint arXiv:2205.10747, 2022 | 20 | 2022 |
| Mixed-Lingual Pre-training for Cross-lingual Summarization R Xu, C Zhu, Y Shi, M Zeng, X Huang 1st Conference of the Asia-Pacific Chapter of the Association for …, 2020 | 19 | 2020 |
| Cross-lingual text classification via model translation with limited dictionaries R Xu, Y Yang, H Liu, A Hsi Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 19 | 2016 |
| Learning visual representation from modality-shared contrastive language-image pre-training H You, L Zhou, B Xiao, N Codella, Y Cheng, R Xu, SF Chang, L Yuan Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 16 | 2022 |
| Fusing context into knowledge graph for commonsense reasoning Y Xu, C Zhu, R Xu, Y Liu, M Zeng, X Huang arXiv preprint arXiv:2012.04808, 2020 | 15 | 2020 |
| Experiments in curation: towards machine-assisted construction of software architecture knowledge bases I Gorton, R Xu, Y Yang, H Liu, G Zheng 2017 IEEE International Conference on Software Architecture (ICSA), 79-88, 2017 | 15 | 2017 |
| Low-resource cross-lingual event type detection via distant supervision with minimal effort AO Muis, N Otani, N Vyas, R Xu, Y Yang, T Mitamura, E Hovy Proceedings of the 27th International Conference on Computational …, 2018 | 13 | 2018 |
| Z-code++: A pre-trained language model optimized for abstractive summarization P He, B Peng, L Lu, S Wang, J Mei, Y Liu, R Xu, HH Awadalla, Y Shi, ... arXiv preprint arXiv:2208.09770, 2022 | 10 | 2022 |
Chenguang ZhuPrincipal Research Manager at Microsoft ResearchVerified email at microsoft.com
