| 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 | 75 | 2018 |
| Cross-lingual Distillation for Text Classification R Xu, Y Yang Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 63 | 2017 |
| 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 | 50* | 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 | 49* | 2020 |
| 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 | 43 | 2019 |
| 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 | 20 | 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 | 20 | 2016 |
| 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 | 20 | 2016 |
| 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 | 19 | 2020 |
| Formality style transfer with hybrid textual annotations R Xu, T Ge, F Wei arXiv preprint arXiv:1903.06353, 2019 | 18 | 2019 |
| 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 | 10 | 2020 |
| The ARIEL-CMU situation frame detection pipeline for LoReHLT16: a model translation approach P Littell, T Tian, R Xu, Z Sheikh, D Mortensen, L Levin, F Tyers, H Hayashi, ... Machine Translation 32 (1), 105-126, 2018 | 10 | 2018 |
| 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 | 10 | 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 | 7 | 2018 |
| The ARIEL-CMU systems for LoReHLT18 A Chaudhary, S Dalmia, J Hu, X Li, A Matthews, AO Muis, N Otani, ... arXiv preprint arXiv:1902.08899, 2019 | 6 | 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 arXiv preprint arXiv:2201.05078, 2022 | 4 | 2022 |
| Does knowledge help general nlu? an empirical study R Xu, Y Fang, C Zhu, M Zeng arXiv preprint arXiv:2109.00563, 2021 | 2 | 2021 |
| Leveraging knowledge in multilingual commonsense reasoning Y Fang, S Wang, Y Xu, R Xu, S Sun, C Zhu, M Zeng arXiv preprint arXiv:2110.08462, 2021 | 1 | 2021 |
| MA-CLIP: Towards Modality-Agnostic Contrastive Language-Image Pre-training H You, L Zhou, B Xiao, NC Codella, Y Cheng, R Xu, SF Chang, L Yuan | 1 | 2021 |
| 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 | | 2022 |
Yiming YangProfessor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
