| RoBERTa: A Robustly Optimized BERT Pretraining Approach Y Liu*, M Ott*, N Goyal*, J Du*, M Joshi, D Chen, O Levy, M Lewis, ... arXiv preprint arXiv:1907.11692, 2019 | 29779* | 2019 |
| Dense Passage Retrieval for Open-Domain Question Answering V Karpukhin*, B Oğuz*, S Min, L Wu, S Edunov, D Chen, W Yih EMNLP 2020, 2020 | 3321 | 2020 |
| SimCSE: Simple Contrastive Learning of Sentence Embeddings T Gao, X Yao, D Chen EMNLP 2021, 2021 | 3250 | 2021 |
| A Fast and Accurate Dependency Parser using Neural Networks D Chen, CD Manning EMNLP 2014, 740-750, 2014 | 2538 | 2014 |
| Reasoning With Neural Tensor Networks for Knowledge Base Completion R Socher*, D Chen*, CD Manning, A Ng NIPS, 926-934, 2013 | 2514 | 2013 |
| SpanBERT: Improving Pre-training by Representing and Predicting Spans M Joshi*, D Chen*, Y Liu, DS Weld, L Zettlemoyer, O Levy Transactions of the Association for Computational Linguistics 8, 64-77, 2020 | 2271 | 2020 |
| Reading Wikipedia to Answer Open-Domain Questions D Chen, A Fisch, J Weston, A Bordes ACL 2017, 2017 | 2254 | 2017 |
| Making Pre-trained Language Models Better Few-shot Learners T Gao, A Fisch, D Chen ACL 2021, 2021 | 1855 | 2021 |
| CoQA: A Conversational Question Answering Challenge S Reddy*, D Chen*, CD Manning Transactions of the Association for Computational Linguistics 7, 249-266, 2019 | 1268 | 2019 |
| Observed Versus Latent Features for Knowledge Base and Text Inference K Toutanova, D Chen Proceedings of the 3rd Workshop on Continuous Vector Space Models and their …, 2015 | 1194 | 2015 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... TMLR 2023, 2022 | 1143 | 2022 |
| Position-aware Attention and Supervised Data Improve Slot Filling Y Zhang, V Zhong, D Chen, G Angeli, CD Manning EMNLP 2017, 2017 | 1026 | 2017 |
| Representing Text for Joint Embedding of Text and Knowledge Bases K Toutanova, D Chen, P Pantel, H Poon, P Choudhury, M Gamon EMNLP 2015, 1499-1509, 2015 | 888 | 2015 |
| A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task D Chen, J Bolton, CD Manning ACL 2016 (arXiv preprint arXiv:1606.02858), 2016 | 692 | 2016 |
| A Frustratingly Easy Approach for Entity and Relation Extraction Z Zhong, D Chen NAACL 2021, 2021 | 554 | 2021 |
| Factual Probing Is [MASK]: Learning vs. Learning to Recall Z Zhong, D Friedman, D Chen NAACL 2021, 2021 | 393 | 2021 |
| MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension A Fisch, A Talmor, R Jia, M Seo, E Choi, D Chen arXiv preprint arXiv:1910.09753, 2019 | 295 | 2019 |
| Structured Pruning Learns Compact and Accurate Models M Xia, Z Zhong, D Chen ACL 2022, 2022 | 216 | 2022 |
| Enabling Large Language Models to Generate Text with Citations T Gao, H Yen, J Yu, D Chen EMNLP 2023, 2023 | 208 | 2023 |
| Catastrophic Jailbreak of Open-Source LLMs via Exploiting Generation Y Huang, S Gupta, M Xia, K Li, D Chen ICLR 2024, 2024 | 192 | 2024 |
Yinhan LiuLeyLine在 leylinepro.com 的电子邮件经过验证