Lora: Low-rank adaptation of large language models EJ Hu, Y Shen, P Wallis, Z Allen-Zhu, Y Li, S Wang, L Wang, W Chen
arXiv preprint arXiv:2106.09685, 2021
3733 2021 On the variance of the adaptive learning rate and beyond L Liu, H Jiang, P He, W Chen, X Liu, J Gao, J Han
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2045 2019 Deberta: Decoding-enhanced bert with disentangled attention P He, X Liu, J Gao, W Chen
arXiv preprint arXiv:2006.03654, 2020
1958 2020 Multi-task deep neural networks for natural language understanding X Liu, P He, W Chen, J Gao
arXiv preprint arXiv:1901.11504, 2019
1340 2019 What Makes Good In-Context Examples for GPT- ? J Liu, D Shen, Y Zhang, B Dolan, L Carin, W Chen
arXiv preprint arXiv:2101.06804, 2021
802 2021 Debertav3: Improving deberta using electra-style pre-training with gradient-disentangled embedding sharing P He, J Gao, W Chen
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587 2021 Smart: Robust and efficient fine-tuning for pre-trained natural language models through principled regularized optimization H Jiang, P He, W Chen, X Liu, J Gao, T Zhao
arXiv preprint arXiv:1911.03437, 2019
417 2019 Reasonet: Learning to stop reading in machine comprehension Y Shen, PS Huang, J Gao, W Chen
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
333 2017 Short text conceptualization using a probabilistic knowledgebase Y Song, H Wang, Z Wang, H Li, W Chen
Proceedings of the twenty-second international joint conference on …, 2011
291 2011 Understanding the difficulty of training transformers L Liu, X Liu, J Gao, W Chen, J Han
arXiv preprint arXiv:2004.08249, 2020
241 2020 Check your facts and try again: Improving large language models with external knowledge and automated feedback B Peng, M Galley, P He, H Cheng, Y Xie, Y Hu, Q Huang, L Liden, Z Yu, ...
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238 2023 Fusionnet: Fusing via fully-aware attention with application to machine comprehension HY Huang, C Zhu, Y Shen, W Chen
arXiv preprint arXiv:1711.07341, 2017
204 2017 Improving multi-task deep neural networks via knowledge distillation for natural language understanding X Liu, P He, W Chen, J Gao
arXiv preprint arXiv:1904.09482, 2019
198 2019 Document transformation for multi-label feature selection in text categorization W Chen, J Yan, B Zhang, Z Chen, Q Yang
Seventh IEEE International Conference on Data Mining (ICDM 2007), 451-456, 2007
181 2007 On the advance of making language models better reasoners Y Li, Z Lin, S Zhang, Q Fu, B Chen, JG Lou, W Chen
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177 * 2022 Agieval: A human-centric benchmark for evaluating foundation models W Zhong, R Cui, Y Guo, Y Liang, S Lu, Y Wang, A Saied, W Chen, ...
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163 2023 Generation-augmented retrieval for open-domain question answering Y Mao, P He, X Liu, Y Shen, J Gao, J Han, W Chen
arXiv preprint arXiv:2009.08553, 2020
162 2020 Adversarial training for large neural language models X Liu, H Cheng, P He, W Chen, Y Wang, H Poon, J Gao
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161 2020 Tapex: Table pre-training via learning a neural sql executor Q Liu, B Chen, J Guo, M Ziyadi, Z Lin, W Chen, JG Lou
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160 2021 Codet: Code generation with generated tests B Chen, F Zhang, A Nguyen, D Zan, Z Lin, JG Lou, W Chen
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155 2022