Xiao Liu
Xiao Liu
Tsinghua University, Department of Computer Science and Technology
Verified email at - Homepage
Cited by
Cited by
Self-supervised learning: Generative or contrastive
X Liu, F Zhang, Z Hou, L Mian, Z Wang, J Zhang, J Tang
TKDE 2021, 2021
GPT Understands, Too
X Liu*, Y Zheng*, Z Du, M Ding, Y Qian, Z Yang, J Tang
arXiv preprint arXiv:2103.10385, 2021
Pre-trained models: Past, present and future
X Han*, Z Zhang*, N Ding*, Y Gu*, X Liu*, Y Huo*, J Qiu, Y Yao, A Zhang, ...
AI Open 2, 225-250, 2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
X Liu*, K Ji*, Y Fu*, Z Du, Z Yang, J Tang
ACL 2022, 2021
Oag: Toward linking large-scale heterogeneous entity graphs
F Zhang, X Liu, J Tang, Y Dong, P Yao, J Zhang, X Gu, Y Wang, B Shao, ...
KDD 2019, 2019
Language models are open knowledge graphs
C Wang, X Liu, D Song
arXiv preprint arXiv:2010.11967, 2020
GLM: General Language Model Pretraining with Autoregressive Blank Infilling
Z Du, Y Qian, X Liu, M Ding, J Qiu, Z Yang, J Tang
ACL 2022, 2022
GraphMAE: Self-Supervised Masked Graph Autoencoders
Z Hou, X Liu, Y Dong, C Wang, J Tang
KDD 2022, 2022
Wudaocorpora: A super large-scale chinese corpora for pre-training language models
S Yuan, H Zhao, Z Du, M Ding, X Liu, Y Cen, X Zou, Z Yang, J Tang
AI Open 2, 65-68, 2021
OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services
X Liu, D Yin, J Zheng, X Zhang, P Zhang, H Yang, Y Dong, J Tang
KDD 2022, 2022
Zero-Shot Information Extraction as a Unified Text-to-Triple Translation
C Wang, X Liu, Z Chen, H Hong, J Tang, D Song
EMNLP 2021, 2021
SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs
X Liu*, H Hong*, X Wang, Z Chen, E Kharlamov, Y Dong, J Tang
WWW 2022, 2022
GLM-130B: An Open Bilingual Pre-trained Model
A Zeng*, X Liu*, Z Du, Z Wang, H Lai, M Ding, Z Yang, Y Xu, W Zheng, ...
ICLR 2023, 2022
DeepStruct: Pretraining of Language Models for Structure Prediction
C Wang*, X Liu*, Z Chen*, H Hong, J Tang, D Song
Findings of ACL 2022, 2022
OAG know : Self-Supervised Learning for Linking Knowledge Graphs
X Liu, L Mian, Y Dong, F Zhang, J Zhang, J Tang, P Zhang, J Gong, ...
IEEE Transactions on Knowledge & Data Engineering 35 (02), 1895-1908, 2023
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers
WL Tam*, X Liu*, K Ji, L Xue, X Zhang, Y Dong, J Liu, M Hu, J Tang
arXiv preprint arXiv:2207.07087, 2022
Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries
X Liu, S Zhao, K Su, Y Cen, J Qiu, M Zhang, W Wu, Y Dong, J Tang
KDD 2022, 2022
OAG: Linking Entities across Large-scale Heterogeneous Knowledge Graphs
F Zhang, X Liu, J Tang, Y Dong, P Yao, J Zhang, X Gu, Y Wang, ...
TKDE 2022, 2022
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