Wenhao Yu
Wenhao Yu
Senior Researcher, Tencent AI Lab (Seattle)
Verified email at - Homepage
Cited by
Cited by
A Survey of Knowledge-Enhanced Text Generation
W Yu, C Zhu, Z Li, Z Hu, Q Wang, H Ji, M Jiang
ACM Computing Surveys (CSUR), 2022
Few-shot Graph Learning for Molecular Property Prediction
Z Guo, C Zhang, W Yu, J Herr, O Wiest, M Jiang, NV Chawla
WebConf 2021 (long paper), 2021
StarCoder: May the Source Be with You!
R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ...
arXiv preprint arXiv:2305.06161, 2023
Learning from Counterfactual Links for Link Prediction
T Zhao, G Liu, D Wang, W Yu, M Jiang
ICML 2022 (spotlight), 2022
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-domain Question Answering
D Yu, C Zhu, Y Fang, W Yu, S Wang, Y Xu, X Ren, Y Yang, M Zeng
ACL 2022 (long paper), 2022
Generate rather than Retrieve: Large Language Models are Strong Context Generators
W Yu, D Iter, S Wang, Y Xu, M Ju, S Sanyal, C Zhu, M Zeng, M Jiang
ICLR 2023, 2023
Dict-BERT: Enhancing Language Model Pre-training with Dictionary
W Yu, C Zhu, Y Fang, D Yu, S Wang, Y Xu, M Zeng, M Jiang
ACL 2022 (long paper), 2022
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations
Q Zeng, J Lin, W Yu, J Cleland-Huang, M Jiang
KDD 2021 (research track), 2021
Identifying Referential Intention with Heterogeneous Contexts
W Yu, M Yu, T Zhao, M Jiang
WebConf 2020 (long paper), 2020
Experimental Evidence Extraction System in Data Science with Hybrid Table Features and Ensemble Learning
W Yu, W Peng, Y Shu, Q Zeng, M Jiang
WWW 2019 (long paper with a demo), 2019
Technical Question Answering across Tasks and Domains
W Yu, L Wu, Y Deng, Q Zeng, R Mahindru, S Guven, M Jiang
NAACL 2021 (industry track), 2021
A Survey of Deep Learning for Mathematical Reasoning
P Lu, L Qiu, W Yu, S Welleck, KW Chang
ACL 2023 (long), 2023
Injecting Entity Types into Entity-Guided Text Generation
X Dong, W Yu, C Zhu, M Jiang
EMNLP 2021 (short paper, oral), 2021
GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction
Z Guo, W Yu, C Zhang, M Jiang, NV Chawla
CIKM 2020 (research track), 2020
Crossing Variational Autoencoders for Answer Retrieval
W Yu, L Wu, Q Zeng, S Tao, Y Deng, M Jiang
ACL 2020 (short paper), 2020
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts
W Yu, C Zhu, L Qin, Z Zhang, T Zhao, M Jiang
ACL 2022 (long paper), 2022
Early Anomaly Detection by Learning and Forecasting Behavior
T Zhao, B Ni, W Yu, Z Guo, N Shah, M Jiang
CIKM 2021 (research track), 2021
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods
Z Zhang, W Yu, M Yu, Z Guo, M Jiang
EACL 2023, 2023
Knowledge-Augmented Methods for Natural Language Processing
C Zhu, Y Xu, X Ren, B Lin, M Jiang, W Yu
ACL 2022 (tutorial), 2022
Empowering Language Models with Knowledge Graph Reasoning for Question Answering
Z Hu, Y Xu, W Yu, S Wang, Z Yang, C Zhu, KW Chang, Y Sun
EMNLP 2022 (long), 2022
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