| 🤗 Transformers: State-of-the-art natural language processing T Wolf, L Debut, V Sanh, J Chaumond, C Delangue, A Moi, P Cistac, ... EMNLP 2020 (Demo), 38-45, 2020 | 7528* | 2020 |
| Multitask prompted training enables zero-shot task generalization V Sanh, A Webson, C Raffel, SH Bach, L Sutawika, Z Alyafeai, A Chaffin, ... ICLR 2022, 2021 | 284 | 2021 |
| 🤗 Datasets: A Community Library for Natural Language Processing Q Lhoest, AV del Moral, Y Jernite, A Thakur, P von Platen, S Patil, ... EMNLP 2021 (Demo), 2021 | 143* | 2021 |
| Bert-of-theseus: Compressing bert by progressive module replacing C Xu, W Zhou, T Ge, F Wei, M Zhou EMNLP 2020, 7859--7869, 2020 | 128 | 2020 |
| BERT Loses Patience: Fast and Robust Inference with Early Exit W Zhou, C Xu, T Ge, J McAuley, K Xu, F Wei NeurIPS 2020, 2020 | 121 | 2020 |
| PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts SH Bach, V Sanh, ZX Yong, A Webson, C Raffel, NV Nayak, A Sharma, ... ACL 2022 (Demo), 2022 | 49 | 2022 |
| Bloom: A 176b-parameter open-access multilingual language model TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... arXiv preprint arXiv:2211.05100, 2022 | 33 | 2022 |
| Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders Y Duan, C Xu, J Pei, J Han, C Li ACL 2020, 253–262, 2020 | 28 | 2020 |
| BERT learns to teach: Knowledge distillation with meta learning W Zhou, C Xu, J McAuley ACL 2022, 7037-7049, 2022 | 26* | 2022 |
| DLocRL: A deep learning pipeline for fine-grained location recognition and linking in tweets C Xu, J Li, X Luo, J Pei, C Li, D Ji The Web Conference (WWW) 2019, 3391-3397, 2019 | 25 | 2019 |
| Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression C Xu, W Zhou, T Ge, K Xu, J McAuley, F Wei EMNLP 2021, 2021 | 22 | 2021 |
| LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval C Xu, D Guo, N Duan, J McAuley ACL 2022 (Findings), 2022 | 16 | 2022 |
| Matinf: A jointly labeled large-scale dataset for classification, question answering and summarization C Xu, J Pei, H Wu, Y Liu, C Li ACL 2020, 3586–3596, 2020 | 10 | 2020 |
| Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting W Zhou, T Ge, C Xu, K Xu, F Wei EMNLP 2021, 2021 | 9 | 2021 |
| Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge C Xu, W Zhou, T Ge, K Xu, J McAuley, F Wei NAACL-HLT 2021, 2021 | 6 | 2021 |
| A survey on dynamic neural networks for natural language processing C Xu, J McAuley arXiv preprint arXiv:2202.07101, 2022 | 4 | 2022 |
| A survey on model compression for natural language processing C Xu, J McAuley arXiv preprint arXiv:2202.07105, 2022 | 3 | 2022 |
| UnihanLM: Coarse-to-Fine Chinese-Japanese Language Model Pretraining with the Unihan Database C Xu, T Ge, C Li, F Wei AACL-IJCNLP 2020, 201-211, 2020 | 3 | 2020 |
| Obj-glove: Scene-based contextual object embedding C Xu, Z Chen, C Li arXiv preprint arXiv:1907.01478, 2019 | 3 | 2019 |
| Leashing the Inner Demons: Self-Detoxification for Language Models C Xu, Z He, Z He, J McAuley AAAI 2022, 2022 | 2 | 2022 |
Thomas WolfChief Science Officer at HuggingFaceVerified email at polytechnique.edu
