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Ruochen Xu
Ruochen Xu
Senior Researcher at Microsoft
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
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
3992023
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
190*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
149*2020
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
1172022
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
962018
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
912022
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, ...
Advances in Neural Information Processing Systems 35, 8483-8497, 2022
902022
Cross-lingual Distillation for Text Classification
R Xu, Y Yang
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
892017
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
752019
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment (2023)
Y Liu, D Iter, Y Xu, S Wang, R Xu, C Zhu
URL http://arxiv. org/abs/2303.16634, 0
55
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
512020
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
422020
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
412016
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
European Conference on Computer Vision, 69-87, 2022
392022
Formality style transfer with hybrid textual annotations
R Xu, T Ge, F Wei
arXiv preprint arXiv:1903.06353, 2019
392019
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
352022
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
282020
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
232016
Automated meeting minutes generator
C Zhu, Y Shi, WI Hinthorn, N Zeng, R Xu, L Lu, X Huang
US Patent 11,615,799, 2023
212023
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
192020
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