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Liyuan Liu
Liyuan Liu
Microsoft Research
Adresse e-mail validée de illinois.edu - Page d'accueil
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On the variance of the adaptive learning rate and beyond
L Liu, H Jiang, P He, W Chen, X Liu, J Gao, J Han
Proceedings of the Eighth International Conference on Learning …, 2019
20612019
Empower sequence labeling with task-aware neural language model
L Liu, J Shang, F Xu, X Ren, H Gui, J Peng, J Han
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence …, 2018
4272018
Learning named entity tagger using domain-specific dictionary
J Shang*, L Liu*, X Ren, X Gu, T Ren, J Han
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
2552018
Understanding the difficulty of training transformers
L Liu, X Liu, J Gao, W Chen, J Han
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
2462020
Triovecevent: Embedding-based online local event detection in geo-tagged tweet streams
C Zhang, L Liu, D Lei, Q Yuan, H Zhuang, T Hanratty, J Han
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
1482017
Very deep transformers for neural machine translation
X Liu, K Duh, L Liu, J Gao
arXiv preprint arXiv:2008.07772, 2020
1242020
Crossweigh: Training named entity tagger from imperfect annotations
Z Wang*, J Shang*, L Liu*, L Lu, J Liu, J Han
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
962019
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach
L Liu*, X Ren*, Q Zhu, S Zhi, H Gui, H Ji, J Han
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
842017
Community detection based on structure and content: A content propagation perspective
L Liu, L Xu, Z Wangy, E Chen
Proceedings of the 2015 IEEE International Conference on Data Mining (ICDM …, 2015
812015
Cross-relation cross-bag attention for distantly-supervised relation extraction
Y Yuan, L Liu, S Tang, Z Zhang, Y Zhuang, S Pu, F Wu, X Ren
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence …, 2019
692019
Nettaxo: Automated topic taxonomy construction from text-rich network
J Shang, X Zhang, L Liu, S Li, J Han
Proceedings of the web conference 2020, 1908-1919, 2020
602020
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
L Liu, X Ren, J Shang, J Peng, J Han
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
512018
On the transformer growth for progressive bert training
X Gu, L Liu, H Yu, J Li, C Chen, J Han
arXiv preprint arXiv:2010.12562, 2020
472020
Ucphrase: Unsupervised context-aware quality phrase tagging
X Gu, Z Wang, Z Bi, Y Meng, L Liu, J Han, J Shang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
332021
Towards adaptive residual network training: A neural-ode perspective
C Dong, L Liu, Z Li, J Shang
International conference on machine learning, 2616-2626, 2020
332020
Multi-head or single-head? an empirical comparison for transformer training
L Liu, J Liu, J Han
arXiv preprint arXiv:2106.09650, 2021
302021
Learning to contextually aggregate multi-source supervision for sequence labeling
O Lan, X Huang, BY Lin, H Jiang, L Liu, X Ren
arXiv preprint arXiv:1910.04289, 2019
302019
Joint aspect-sentiment analysis with minimal user guidance
H Zhuang, F Guo, C Zhang, L Liu, J Han
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
262020
Reliability-aware dynamic feature composition for name tagging
Y Lin, L Liu, H Ji, D Yu, J Han
Proceedings of the 57th annual meeting of the association for computational …, 2019
262019
Model tells you what to discard: Adaptive kv cache compression for llms
S Ge, Y Zhang, L Liu, M Zhang, J Han, J Gao
arXiv preprint arXiv:2310.01801, 2023
232023
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