← Authors

Jingfei Du

17 papers · 2019–2023 · 5 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (37) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (11) πŸ‘₯ Mega-Team (24) ⚑ Prolific Year (5) πŸ’Ž Century Club (17) πŸ”₯ Unstoppable (5) πŸ—ƒοΈ Keyword Collector (63)

Conferences

EMNLP (7) ACL (3) ICLR (3) NAACL (3) IJCNLP (1)

Top co-authors

Veselin Stoyanov (11) Myle Ott (6) Naman Goyal (5) Alexis CONNEAU (4) Mikel Artetxe (4) Zornitsa Kozareva (3) Ramakanth Pasunuru (3) Wenhan Xiong (3) Todor Mihaylov (3) Luke Zettlemoyer (3)

Keywords

few-shot learning (4) pretrained language model (2) speech-to-speech translation (2) text infilling (2) masked language modeling (2) cross-lingual transfer (2) parameter scaling (2) multilingual language model (2) cross-lingual understanding (2) knowledge distillation (2) self-supervised learning (2) in-context learning (1) transfer learning (1) data augmentation (1) natural language inference (1) contrastive learning (1) machine translation (1) parallel corpus (1) semi-supervised learning (1) masked language model (1)

Papers

Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality EMNLP 2023
SpeechMatrix: A Large-Scale Mined Corpus of Multilingual Speech-to-Speech Translations ACL 2023
Speech-to-Speech Translation for a Real-world Unwritten Language ACL 2023
Improving In-Context Few-Shot Learning via Self-Supervised Training NAACL 2022
Few-shot Learning with Multilingual Generative Language Models EMNLP 2022
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models EMNLP 2022
Efficient Large Scale Language Modeling with Mixtures of Experts EMNLP 2022
On the Role of Bidirectionality in Language Model Pre-Training EMNLP 2022
Self-training Improves Pre-training for Natural Language Understanding NAACL 2021
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning ICLR 2021
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval ICLR 2021
Larger-Scale Transformers for Multilingual Masked Language Modeling IJCNLP 2021
Larger-Scale Transformers for Multilingual Masked Language Modeling ACL 2021
General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference EMNLP 2020
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model ICLR 2020
Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art EMNLP 2020
Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition NAACL 2019