Jingfei Du

According to our database, Jingfei Du authored at least 22 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality.

Harman Singh, Pengchuan Zhang, Qifan Wang, Mengjiao Wang, Wenhan Xiong, Jingfei Du, Yu Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SpeechMatrix: A Large-Scale Mined Corpus of Multilingual Speech-to-Speech Translations.

Paul-Ambroise Duquenne, Hongyu Gong, Ning Dong, Jingfei Du, Ann Lee, Vedanuj Goswami, Changhan Wang, Juan Pino, Benoît Sagot, Holger Schwenk

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Speech-to-Speech Translation for a Real-world Unwritten Language.

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Improving In-Context Few-Shot Learning via Self-Supervised Training.

Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models.

Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Veselin Stoyanov

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Few-shot Learning with Multilingual Generative Language Models.

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

On the Role of Bidirectionality in Language Model Pre-Training.

Mikel Artetxe, Jingfei Du, Naman Goyal, Luke Zettlemoyer, Veselin Stoyanov

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Efficient Large Scale Language Modeling with Mixtures of Experts.

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Efficient Large Scale Language Modeling with Mixtures of Experts.

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

CoRR, 2021

Few-shot Learning with Multilingual Language Models.

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

CoRR, 2021

Larger-Scale Transformers for Multilingual Masked Language Modeling.

Naman Goyal, Jingfei Du, Myle Ott, Giri Anantharaman, Alexis Conneau

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Self-training Improves Pre-training for Natural Language Understanding.

Jingfei Du, Edouard Grave, Beliz Gunel, Vishrav Chaudhary, Onur Celebi, Michael Auli, Veselin Stoyanov, Alexis Conneau

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval.

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

Proceedings of the 9th International Conference on Learning Representations, 2021

Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning.

Beliz Gunel, Jingfei Du, Alexis Conneau, Veselin Stoyanov

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model.

Wenhan Xiong, Jingfei Du, William Yang Wang, Veselin Stoyanov

Proceedings of the 8th International Conference on Learning Representations, 2020

General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference.

Jingfei Du, Myle Ott, Haoran Li, Xing Zhou, Veselin Stoyanov

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art.

Patrick S. H. Lewis, Myle Ott, Jingfei Du, Veselin Stoyanov

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

2019

RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov

CoRR, 2019

Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition.

Angli Liu, Jingfei Du, Veselin Stoyanov

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2014

Box office prediction based on microblog.

Jingfei Du, Hua Xu, Xiaoqiu Huang

Expert Syst. Appl., 2014

Perceptron-based tagging of query boundaries for Chinese query segmentation.

Jingfei Du, Yan Song, Chi-Ho Li

Proceedings of the 23rd International World Wide Web Conference, 2014

2013

Multi-Objective Optimization for Overlapping Community Detection.

Jingfei Du, Jianyang Lai, Chuan Shi

Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013