Ledell (Yu) Wu
Ledell (Yu) Wu
Other namesLedell Wu, Yu Wu, 伍昱
Beijing Academy of Artificial Intelligence
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Cited by
Cited by
Learning fair representations
R Zemel, Y Wu, K Swersky, T Pitassi, C Dwork
International conference on machine learning, 325-333, 2013
Dense passage retrieval for open-domain question answering
V Karpukhin, B Oğuz, S Min, P Lewis, L Wu, S Edunov, D Chen, W Yih
arXiv preprint arXiv:2004.04906, 2020
Pytorch-biggraph: A large scale graph embedding system
A Lerer, L Wu, J Shen, T Lacroix, L Wehrstedt, A Bose, A Peysakhovich
Proceedings of Machine Learning and Systems 1, 120-131, 2019
Scalable zero-shot entity linking with dense entity retrieval
L Wu, F Petroni, M Josifoski, S Riedel, L Zettlemoyer
arXiv preprint arXiv:1911.03814, 2019
Starspace: Embed all the things!
LY Wu, A Fisch, S Chopra, K Adams, A Bordes, J Weston
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Multi-dimensional gender bias classification
E Dinan, A Fan, L Wu, J Weston, D Kiela, A Williams
arXiv preprint arXiv:2005.00614, 2020
Multilingual autoregressive entity linking
N De Cao, L Wu, K Popat, M Artetxe, N Goyal, M Plekhanov, ...
Transactions of the Association for Computational Linguistics 10, 274-290, 2022
Inapproximability of treewidth and related problems
Y Wu, P Austrin, T Pitassi, D Liu
Journal of Artificial Intelligence Research 49, 569-600, 2014
Eva: Exploring the limits of masked visual representation learning at scale
Y Fang, W Wang, B Xie, Q Sun, L Wu, X Wang, T Huang, X Wang, Y Cao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Dynaboard: An evaluation-as-a-service platform for holistic next-generation benchmarking
Z Ma, K Ethayarajh, T Thrush, S Jain, L Wu, R Jia, C Potts, A Williams, ...
Advances in Neural Information Processing Systems 34, 10351-10367, 2021
Inapproximability of treewidth, one-shot pebbling, and related layout problems
P Austrin, T Pitassi, Y Wu
Approximation, Randomization, and Combinatorial Optimization. Algorithms and …, 2012
Dense passage retrieval for open-domain question answering
K Vladimir, O Barlas, M Sewon, L Patrick, L Wu, E Sergey, C Danqi
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
Ultron: An ultimate retriever on corpus with a model-based indexer
Y Zhou, J Yao, Z Dou, L Wu, P Zhang, JR Wen
arXiv preprint arXiv:2208.09257, 2022
DynamicRetriever: A Pre-training Model-based IR System with Neither Sparse nor Dense Index
Y Zhou, J Yao, Z Dou, L Wu, JR Wen
arXiv preprint arXiv:2203.00537, 2022
AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities
Z Chen, G Liu, BW Zhang, F Ye, Q Yang, L Wu
arXiv preprint arXiv:2211.06679, 2022
Calculating question similarity is enough: A new method for kbqa tasks
H Zhao, S Yuan, J Leng, X Pan, G Wang, L Wu, J Tang
arXiv preprint arXiv:2111.07658, 2021
DynamicRetriever: A Pre-trained Model-based IR System Without an Explicit Index
YJ Zhou, J Yao, ZC Dou, L Wu, JR Wen
Machine Intelligence Research, 1-13, 2023
PTab: Using the Pre-trained Language Model for Modeling Tabular Data
G Liu, J Yang, L Wu
arXiv preprint arXiv:2209.08060, 2022
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