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 | 2103 | 2019 |
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 | 431 | 2018 |
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 | 257 | 2018 |
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 | 251 | 2020 |
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 | 148 | 2017 |
Very deep transformers for neural machine translation X Liu, K Duh, L Liu, J Gao arXiv preprint arXiv:2008.07772, 2020 | 124 | 2020 |
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 | 99 | 2019 |
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 | 84 | 2017 |
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 | 81 | 2015 |
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 | 69 | 2019 |
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 | 61 | 2020 |
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 | 51 | 2018 |
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 | 47 | 2020 |
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 | 34 | 2021 |
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 | 34 | 2020 |
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 | 33 | 2023 |
Multi-head or single-head? an empirical comparison for transformer training L Liu, J Liu, J Han arXiv preprint arXiv:2106.09650, 2021 | 32 | 2021 |
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 | 30 | 2019 |
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 | 28 | 2020 |
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 | 26 | 2019 |