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Peng LI
Peng LI
Institute for AI Industry Research (AIR), Tsinghua University
Dirección de correo verificada de air.tsinghua.edu.cn - Página principal
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Measuring and relieving the over-smoothing problem for graph neural networks from the topological view
D Chen, Y Lin, W Li, P Li, J Zhou, X Sun
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3438-3445, 2020
12652020
DocRED: A Large-Scale Document-Level Relation Extraction Dataset
Y Yao, D Ye, P Li, X Han, Y Lin, Z Liu, Z Liu, L Huang, J Zhou, M Sun
Proceedings of the 57th Conference of the Association for Computational …, 2019
6362019
Clustering to find exemplar terms for keyphrase extraction
Z Liu, P Li, Y Zheng, M Sun
Proceedings of the 2009 conference on empirical methods in natural language …, 2009
4432009
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
T Gao, X Han, H Zhu, Z Liu, P Li, M Sun, J Zhou
arXiv preprint arXiv:1910.07124, 2019
2972019
Deep recurrent models with fast-forward connections for neural machine translation
J Zhou, Y Cao, X Wang, P Li, W Xu
Transactions of the Association for Computational Linguistics 4, 371-383, 2016
2782016
Learning from Context or Names? An Empirical Study on Neural Relation Extraction
H Peng, T Gao, X Han, Y Lin, P Li, Z Liu, M Sun, J Zhou
arXiv preprint arXiv:2010.01923, 2020
2162020
Coreferential reasoning learning for language representation
D Ye, Y Lin, J Du, Z Liu, P Li, M Sun, Z Liu
arXiv preprint arXiv:2004.06870, 2020
2022020
MAVEN: A Massive General Domain Event Detection Dataset
X Wang, Z Wang, X Han, W Jiang, R Han, Z Liu, J Li, P Li, Y Lin, J Zhou
arXiv preprint arXiv:2004.13590, 2020
2012020
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer
F Luo, P Li, J Zhou, P Yang, B Chang, X Sun, Z Sui
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
1922019
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction
X Han, T Gao, Y Lin, H Peng, Y Yang, C Xiao, Z Liu, P Li, M Sun, J Zhou
arXiv preprint arXiv:2004.03186, 2020
1762020
Adversarial Training for Weakly Supervised Event Detection
X Wang, X Han, Z Liu, M Sun, P Li
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
1762019
Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention
X Han, P Yu, Z Liu, M Sun, P Li
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
1722018
Packed Levitated Marker for Entity and Relation Extraction
D Ye, Y Lin, P Li, M Sun
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
1612022
On transferability of prompt tuning for natural language processing
Y Su, X Wang, Y Qin, CM Chan, Y Lin, H Wang, K Wen, Z Liu, P Li, J Li, ...
Proceedings of the 2022 Conference of the North American Chapter of the …, 2022
1512022
Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf
Y Xu, S Wang, P Li, F Luo, X Wang, W Liu, Y Liu
arXiv preprint arXiv:2309.04658, 2023
1472023
MoEfication: Transformer Feed-forward Layers are Mixtures of Experts
Z Zhang, Y Lin, Z Liu, P Li, M Sun, J Zhou
Findings of the Association for Computational Linguistics: ACL 2022, 877-890, 2022
138*2022
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning
Y Qin, Y Lin, R Takanobu, Z Liu, P Li, H Ji, M Huang, M Sun, J Zhou
arXiv preprint arXiv:2012.15022, 2020
1342020
NumNet: Machine Reading Comprehension with Numerical Reasoning
Q Ran, Y Lin, P Li, J Zhou, Z Liu
arXiv preprint arXiv:1910.06701, 2019
1322019
CLEVE: Contrastive Pre-training for Event Extraction
Z Wang, X Wang, X Han, Y Lin, L Hou, Z Liu, P Li, J Li, J Zhou
arXiv preprint arXiv:2105.14485, 2021
1212021
Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security
Y Li, H Wen, W Wang, X Li, Y Yuan, G Liu, J Liu, W Xu, X Wang, Y Sun, ...
arXiv preprint arXiv:2401.05459, 2024
1162024
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