Ledell Wu

According to our database, Ledell Wu authored at least 22 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

ROGER: Ranking-Oriented Generative Retrieval.

Yujia Zhou, Jing Yao, Zhicheng Dou, Yiteng Tu, Ledell Wu, Tat-Seng Chua, Ji-Rong Wen

ACM Trans. Inf. Syst., November, 2024

WebUltron: An Ultimate Retriever on Webpages Under the Model-Centric Paradigm.

Yujia Zhou, Jing Yao, Ledell Wu, Zhicheng Dou, Ji-Rong Wen

IEEE Trans. Knowl. Data Eng., September, 2024

UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science.

Yazheng Yang, Yuqi Wang, Guang Liu, Ledell Wu, Qi Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AltDiffusion: A Multilingual Text-to-Image Diffusion Model.

Fulong Ye, Guang Liu, Xinya Wu, Ledell Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

DynamicRetriever: A Pre-trained Model-based IR System Without an Explicit Index.

Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Ji-Rong Wen

Mach. Intell. Res., April, 2023

UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data.

Yazheng Yang, Yuqi Wang, Guang Liu, Ledell Wu, Qi Liu

CoRR, 2023

EVA-CLIP: Improved Training Techniques for CLIP at Scale.

Quan Sun, Yuxin Fang, Ledell Wu, Xinlong Wang, Yue Cao

CoRR, 2023

EVA: Exploring the Limits of Masked Visual Representation Learning at Scale.

Yuxin Fang, Wen Wang, Binhui Xie, Quan Sun, Ledell Wu, Xinggang Wang, Tiejun Huang, Xinlong Wang, Yue Cao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities.

Zhongzhi Chen, Guang Liu, Bo-Wen Zhang, Qinghong Yang, Ledell Wu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Multilingual Autoregressive Entity Linking.

Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni

Trans. Assoc. Comput. Linguistics, 2022

AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities.

Zhongzhi Chen, Guang Liu, Bo-Wen Zhang, Fulong Ye, Qinghong Yang, Ledell Wu

CoRR, 2022

PTab: Using the Pre-trained Language Model for Modeling Tabular Data.

Guang Liu, Jie Yang, Ledell Wu

CoRR, 2022

Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer.

Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Peitian Zhang, Ji-Rong Wen

CoRR, 2022

DynamicRetriever: A Pre-training Model-based IR System with Neither Sparse nor Dense Index.

Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Ji-Rong Wen

CoRR, 2022

2021

Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking.

Zhiyi Ma, Kawin Ethayarajh, Tristan Thrush, Somya Jain, Ledell Wu, Robin Jia, Christopher Potts, Adina Williams, Douwe Kiela

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Dense Passage Retrieval for Open-Domain Question Answering.

Vladimir Karpukhin, Barlas Oguz, Sewon Min, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih

CoRR, 2020

Scalable Zero-shot Entity Linking with Dense Entity Retrieval.

Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, Luke Zettlemoyer

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Dense Passage Retrieval for Open-Domain Question Answering.

Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick S. H. Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Multi-Dimensional Gender Bias Classification.

Emily Dinan, Angela Fan, Ledell Wu, Jason Weston, Douwe Kiela, Adina Williams

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Zero-shot Entity Linking with Dense Entity Retrieval.

Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, Luke Zettlemoyer

CoRR, 2019

Pytorch-BigGraph: A Large Scale Graph Embedding System.

Adam Lerer, Ledell Wu, Jiajun Shen, Timothée Lacroix, Luca Wehrstedt, Abhijit Bose, Alex Peysakhovich

Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

2018

StarSpace: Embed All The Things!

Ledell Yu Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, Jason Weston

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018