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2020 – today
- 2023
[c18]Peng-Jen Chen, Kevin Tran, Yilin Yang, Jingfei Du, Justine Kao, Yu-An Chung, Paden Tomasello, Paul-Ambroise Duquenne, Holger Schwenk, Hongyu Gong, Hirofumi Inaguma, Sravya Popuri, Changhan Wang, Juan Pino, Wei-Ning Hsu, Ann Lee:
Speech-to-Speech Translation for a Real-world Unwritten Language. ACL (Findings) 2023: 4969-4983- [c17]Paul-Ambroise Duquenne, Hongyu Gong, Ning Dong, Jingfei Du, Ann Lee, Vedanuj Goswami, Changhan Wang, Juan Pino, Benoît Sagot, Holger Schwenk:
SpeechMatrix: A Large-Scale Mined Corpus of Multilingual Speech-to-Speech Translations. ACL (1) 2023: 16251-16269 - [c16]Harman Singh, Pengchuan Zhang, Qifan Wang, Mengjiao Wang, Wenhan Xiong, Jingfei Du, Yu Chen:
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality. EMNLP 2023: 869-893 - [i16]Harman Singh, Pengchuan Zhang, Qifan Wang, Mengjiao Wang, Wenhan Xiong, Jingfei Du, Yu Chen:
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality. CoRR abs/2305.13812 (2023) - 2022
- [c15]Mikel Artetxe, Jingfei Du, Naman Goyal, Luke Zettlemoyer, Veselin Stoyanov:
On the Role of Bidirectionality in Language Model Pre-Training. EMNLP (Findings) 2022: 3973-3985 - [c14]Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li:
Few-shot Learning with Multilingual Generative Language Models. EMNLP 2022: 9019-9052 - [c13]Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Veselin Stoyanov:
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models. EMNLP 2022: 11351-11361 - [c12]Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giridharan Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeffrey Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Veselin Stoyanov:
Efficient Large Scale Language Modeling with Mixtures of Experts. EMNLP 2022: 11699-11732 - [c11]Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva:
Improving In-Context Few-Shot Learning via Self-Supervised Training. NAACL-HLT 2022: 3558-3573 - [i15]Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva:
Improving In-Context Few-Shot Learning via Self-Supervised Training. CoRR abs/2205.01703 (2022) - [i14]Mikel Artetxe, Jingfei Du, Naman Goyal, Luke Zettlemoyer, Ves Stoyanov:
On the Role of Bidirectionality in Language Model Pre-Training. CoRR abs/2205.11726 (2022) - [i13]Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Ves Stoyanov:
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models. CoRR abs/2205.15223 (2022) - [i12]Paul-Ambroise Duquenne, Hongyu Gong, Ning Dong, Jingfei Du, Ann Lee, Vedanuj Goswami, Changhan Wang, Juan Miguel Pino, Benoît Sagot, Holger Schwenk:
SpeechMatrix: A Large-Scale Mined Corpus of Multilingual Speech-to-Speech Translations. CoRR abs/2211.04508 (2022) - [i11]Peng-Jen Chen, Kevin Tran, Yilin Yang, Jingfei Du, Justine Kao, Yu-An Chung, Paden Tomasello, Paul-Ambroise Duquenne, Holger Schwenk, Hongyu Gong, Hirofumi Inaguma, Sravya Popuri, Changhan Wang, Juan Miguel Pino, Wei-Ning Hsu, Ann Lee:
Speech-to-Speech Translation For A Real-world Unwritten Language. CoRR abs/2211.06474 (2022) - 2021
- [c10]Beliz Gunel, Jingfei Du, Alexis Conneau, Veselin Stoyanov:
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning. ICLR 2021 - [c9]Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick S. H. Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz:
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. ICLR 2021 - [c8]Jingfei Du, Edouard Grave, Beliz Gunel, Vishrav Chaudhary, Onur Celebi, Michael Auli, Veselin Stoyanov, Alexis Conneau:
Self-training Improves Pre-training for Natural Language Understanding. NAACL-HLT 2021: 5408-5418 - [c7]Naman Goyal, Jingfei Du, Myle Ott, Giri Anantharaman, Alexis Conneau:
Larger-Scale Transformers for Multilingual Masked Language Modeling. RepL4NLP@ACL-IJCNLP 2021: 29-33 - [i10]Naman Goyal, Jingfei Du, Myle Ott, Giri Anantharaman, Alexis Conneau:
Larger-Scale Transformers for Multilingual Masked Language Modeling. CoRR abs/2105.00572 (2021) - [i9]Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li:
Few-shot Learning with Multilingual Language Models. CoRR abs/2112.10668 (2021) - [i8]Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giri Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Ves Stoyanov:
Efficient Large Scale Language Modeling with Mixtures of Experts. CoRR abs/2112.10684 (2021) - 2020
- [c6]Patrick S. H. Lewis
, Myle Ott, Jingfei Du, Veselin Stoyanov:
Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art. ClinicalNLP@EMNLP 2020: 146-157 - [c5]Jingfei Du, Myle Ott, Haoran Li, Xing Zhou, Veselin Stoyanov:
General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference. EMNLP (Findings) 2020: 3018-3030 - [c4]Wenhan Xiong, Jingfei Du, William Yang Wang, Veselin Stoyanov:
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model. ICLR 2020 - [i7]Jingfei Du, Myle Ott, Haoran Li, Xing Zhou, Veselin Stoyanov:
General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference. CoRR abs/2004.14287 (2020) - [i6]Wenhan Xiong, Xiang Lorraine Li, Srinivasan Iyer, Jingfei Du, Patrick S. H. Lewis, William Yang Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz:
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. CoRR abs/2009.12756 (2020) - [i5]Jingfei Du, Edouard Grave, Beliz Gunel, Vishrav Chaudhary, Onur Celebi, Michael Auli, Ves Stoyanov, Alexis Conneau:
Self-training Improves Pre-training for Natural Language Understanding. CoRR abs/2010.02194 (2020) - [i4]Beliz Gunel, Jingfei Du, Alexis Conneau, Ves Stoyanov:
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning. CoRR abs/2011.01403 (2020)
2010 – 2019
- 2019
- [c3]Angli Liu, Jingfei Du, Veselin Stoyanov:
Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition. NAACL-HLT (1) 2019: 1142-1150 - [i3]Angli Liu, Jingfei Du, Veselin Stoyanov:
Knowledge-Augmented Language Model and its Application to Unsupervised Named-Entity Recognition. CoRR abs/1904.04458 (2019) - [i2]Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov:
RoBERTa: A Robustly Optimized BERT Pretraining Approach. CoRR abs/1907.11692 (2019) - [i1]Wenhan Xiong, Jingfei Du, William Yang Wang, Veselin Stoyanov:
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model. CoRR abs/1912.09637 (2019) - 2014
- [j1]Jingfei Du, Hua Xu, Xiaoqiu Huang:
Box office prediction based on microblog. Expert Syst. Appl. 41(4): 1680-1689 (2014) - [c2]Jingfei Du, Yan Song, Chi-Ho Li:
Perceptron-based tagging of query boundaries for Chinese query segmentation. WWW (Companion Volume) 2014: 257-258 - 2013
- [c1]Jingfei Du, Jianyang Lai, Chuan Shi:
Multi-Objective Optimization for Overlapping Community Detection. ADMA (2) 2013: 489-500
Coauthor Index
aka: Ves Stoyanov
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