Wei Zhu
Wei Zhu
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Ultrafeedback: Boosting language models with high-quality feedback
G Cui, L Yuan, N Ding, G Yao, W Zhu, Y Ni, G Xie, Z Liu, M Sun
arXiv preprint arXiv:2310.01377, 2023
Unified demonstration retriever for in-context learning
X Li, K Lv, H Yan, T Lin, W Zhu, Y Ni, G Xie, X Wang, X Qiu
arXiv preprint arXiv:2305.04320, 2023
Global attention decoder for Chinese spelling error correction
Z Guo, Y Ni, K Wang, W Zhu, G Xie
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021
LeeBERT: Learned early exit for BERT with cross-level optimization
W Zhu
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
Medical knowledge graph to enhance fraud, waste, and abuse detection on claim data: Model development and performance evaluation
H Sun, J Xiao, W Zhu, Y He, S Zhang, X Xu, L Hou, J Li, Y Ni, G Xie
JMIR Medical Informatics 8 (7), e17653, 2020
A simple hash-based early exiting approach for language understanding and generation
T Sun, X Liu, W Zhu, Z Geng, L Wu, Y He, Y Ni, G Xie, X Huang, X Qiu
arXiv preprint arXiv:2203.01670, 2022
Limited participation under ambiguity of correlation
HH Huang, S Zhang, W Zhu
Journal of Financial Markets 32, 97-143, 2017
Panlp at mediqa 2019: Pre-trained language models, transfer learning and knowledge distillation
W Zhu, X Zhou, K Wang, X Luo, X Li, Y Ni, G Xie
Proceedings of the 18th BioNLP Workshop and Shared Task, 380-388, 2019
PCEE-BERT: accelerating BERT inference via patient and confident early exiting
Z Zhang, W Zhu, J Zhang, P Wang, R Jin, TS Chung
Findings of the Association for Computational Linguistics: NAACL 2022, 327-338, 2022
AutoRC: Improving BERT based relation classification models via architecture search
W Zhu, X Qiu, Y Ni, G Xie
arXiv preprint arXiv:2009.10680, 2020
Autotrans: Automating transformer design via reinforced architecture search
W Zhu, X Wang, Y Ni, G Xie
Natural Language Processing and Chinese Computing: 10th CCF International …, 2021
GAML-BERT: improving BERT early exiting by gradient aligned mutual learning
W Zhu, X Wang, Y Ni, G Xie
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
PromptCBLUE: a Chinese prompt tuning benchmark for the medical domain
W Zhu, X Wang, H Zheng, M Chen, B Tang
arXiv preprint arXiv:2310.14151, 2023
Mining infrequent high-quality phrases from domain-specific corpora
L Wang, W Zhu, S Jiang, S Zhang, K Wang, Y Ni, G Xie, Y Xiao
Proceedings of the 29th ACM International Conference on Information …, 2020
Extracting decision trees from medical texts: an overview of the Text2DT track in CHIP2022
W Zhu, W Li, X Wang, W Ji, Y Wu, J Chen, L Chen, B Tang
China Health Information Processing Conference, 89-102, 2022
Pingan smart health and sjtu at coin-shared task: utilizing pre-trained language models and common-sense knowledge in machine reading tasks
X Li, Z Zhang, W Zhu, Z Li, Y Ni, P Gao, J Yan, G Xie
Proceedings of the First Workshop on Commonsense Inference in Natural …, 2019
paht_nlp@ MEDIQA 2021: multi-grained query focused multi-answer summarization
W Zhu, Y He, L Chai, Y Fan, Y Ni, G Xie, X Wang
Proceedings of the 20th Workshop on Biomedical Language Processing, 96-102, 2021
Discovering better model architectures for medical query understanding
W Zhu, Y Ni, X Wang, G Xie
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
Analysis of the health information needs of diabetics in China
X Zhou, Y Ni, G Xie, W Zhu, C Chen, T Wang, Z Pan
MEDINFO 2019: Health and Wellbeing e-Networks for All, 487-491, 2019
Continually detection, rapidly react: unseen rumors detection based on continual prompt-tuning
Y Zuo, W Zhu, GG Cai
Proceedings of the 29th International Conference on Computational …, 2022
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