Jingfei Du

35 papers A* 7Journal 17Unranked 11
YearRankTypeTitle / Venue / Authors
2023 A* conf
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality.
EMNLP
Harman Singh, Pengchuan Zhang, Qifan Wang, Mengjiao Wang, Wenhan Xiong, Jingfei Du, Yu Chen
2023 J jnl
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality.
CoRR
Harman Singh, Pengchuan Zhang, Qifan Wang, Mengjiao Wang, Wenhan Xiong, Jingfei Du, Yu Chen
2023 — conf
Speech-to-Speech Translation for a Real-world Unwritten Language.
ACL (Findings)
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
2023 — conf
SpeechMatrix: A Large-Scale Mined Corpus of Multilingual Speech-to-Speech Translations.
ACL (1)
Paul-Ambroise Duquenne, Hongyu Gong, Ning Dong, Jingfei Du, Ann Lee, Vedanuj Goswami, Changhan Wang, Juan Pino, Benoît Sagot, Holger Schwenk
2022 A* conf
Efficient Large Scale Language Modeling with Mixtures of Experts.
EMNLP
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
2022 A* conf
Few-shot Learning with Multilingual Generative Language Models.
EMNLP
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
2022 — conf
Improving In-Context Few-Shot Learning via Self-Supervised Training.
NAACL-HLT
Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva
2022 J jnl
Improving In-Context Few-Shot Learning via Self-Supervised Training.
CoRR
Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva
2022 — conf
On the Role of Bidirectionality in Language Model Pre-Training.
EMNLP (Findings)
Mikel Artetxe, Jingfei Du, Naman Goyal, Luke Zettlemoyer, Veselin Stoyanov
2022 J jnl
On the Role of Bidirectionality in Language Model Pre-Training.
CoRR
Mikel Artetxe, Jingfei Du, Naman Goyal, Luke Zettlemoyer, Ves Stoyanov
2022 A* conf
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models.
EMNLP
Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Veselin Stoyanov
2022 J jnl
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models.
CoRR
Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Ves Stoyanov
2022 J jnl
Speech-to-Speech Translation For A Real-world Unwritten Language.
CoRR
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
2022 J jnl
SpeechMatrix: A Large-Scale Mined Corpus of Multilingual Speech-to-Speech Translations.
CoRR
Paul-Ambroise Duquenne, Hongyu Gong, Ning Dong, Jingfei Du, Ann Lee, Vedanuj Goswami, Changhan Wang, Juan Miguel Pino, Benoît Sagot, Holger Schwenk
2021 A* conf
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval.
ICLR
Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz
2021 J jnl
Efficient Large Scale Language Modeling with Mixtures of Experts.
CoRR
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
2021 J jnl
Few-shot Learning with Multilingual Language Models.
CoRR
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
2021 — conf
Larger-Scale Transformers for Multilingual Masked Language Modeling.
RepL4NLP@ACL-IJCNLP
Naman Goyal, Jingfei Du, Myle Ott, Giri Anantharaman, Alexis Conneau
2021 J jnl
Larger-Scale Transformers for Multilingual Masked Language Modeling.
CoRR
Naman Goyal, Jingfei Du, Myle Ott, Giri Anantharaman, Alexis Conneau
2021 — conf
Self-training Improves Pre-training for Natural Language Understanding.
NAACL-HLT
Jingfei Du, Edouard Grave, Beliz Gunel, Vishrav Chaudhary, Onur Celebi, Michael Auli, Veselin Stoyanov, Alexis Conneau
2021 A* conf
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning.
ICLR
Beliz Gunel, Jingfei Du, Alexis Conneau, Veselin Stoyanov
2020 J jnl
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval.
CoRR
Wenhan Xiong, Xiang Lorraine Li, Srinivasan Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz
2020 — conf
General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference.
EMNLP (Findings)
Jingfei Du, Myle Ott, Haoran Li, Xing Zhou, Veselin Stoyanov
2020 J jnl
General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference.
CoRR
Jingfei Du, Myle Ott, Haoran Li, Xing Zhou, Veselin Stoyanov
2020 A* conf
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model.
ICLR
Wenhan Xiong, Jingfei Du, William Yang Wang, Veselin Stoyanov
2020 — conf
Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art.
ClinicalNLP@EMNLP
Patrick Lewis, Myle Ott, Jingfei Du, Veselin Stoyanov
2020 J jnl
Self-training Improves Pre-training for Natural Language Understanding.
CoRR
Jingfei Du, Edouard Grave, Beliz Gunel, Vishrav Chaudhary, Onur Celebi, Michael Auli, Ves Stoyanov, Alexis Conneau
2020 J jnl
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning.
CoRR
Beliz Gunel, Jingfei Du, Alexis Conneau, Ves Stoyanov
2019 — conf
Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition.
NAACL-HLT (1)
Angli Liu, Jingfei Du, Veselin Stoyanov
2019 J jnl
Knowledge-Augmented Language Model and its Application to Unsupervised Named-Entity Recognition.
CoRR
Angli Liu, Jingfei Du, Veselin Stoyanov
2019 J jnl
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model.
CoRR
Wenhan Xiong, Jingfei Du, William Yang Wang, Veselin Stoyanov
2019 J jnl
RoBERTa: A Robustly Optimized BERT Pretraining Approach.
CoRR
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov
2014 J jnl
Box office prediction based on microblog.
Expert Syst. Appl.
Jingfei Du, Hua Xu, Xiaoqiu Huang
2014 — conf
Perceptron-based tagging of query boundaries for Chinese query segmentation.
WWW (Companion Volume)
Jingfei Du, Yan Song, Chi-Ho Li
2013 — conf
Multi-Objective Optimization for Overlapping Community Detection.
ADMA (2)
Jingfei Du, Jianyang Lai, Chuan Shi