StarSpace: Embed All The Things! - Ledell Yu Wu; Adam Fisch; Sumit Chopra; Keith Adams; Antoine Bordes; Jason Weston (AAAI, 2018)

Pytorch-BigGraph: A Large Scale Graph Embedding System. - Adam Lerer; Ledell Wu; Jiajun Shen; Timothée Lacroix; Luca Wehrstedt; Abhijit Bose; Alex Peysakhovich (SysML, 2019)

Zero-shot Entity Linking with Dense Entity Retrieval. - Ledell Wu; Fabio Petroni; Martin Josifoski; Sebastian Riedel 001; Luke Zettlemoyer (CoRR, 2019)

Multi-Dimensional Gender Bias Classification. - Emily Dinan; Angela Fan; Ledell Wu; Jason Weston; Douwe Kiela; Adina Williams (EMNLP (1), 2020)

Dense Passage Retrieval for Open-Domain Question Answering. - Vladimir Karpukhin; Barlas Oguz; Sewon Min; Patrick Lewis 001; Ledell Wu; Sergey Edunov; Danqi Chen 001; Wen-tau Yih (EMNLP (1), 2020)

Scalable Zero-shot Entity Linking with Dense Entity Retrieval. - Ledell Wu; Fabio Petroni; Martin Josifoski; Sebastian Riedel 001; Luke Zettlemoyer (EMNLP (1), 2020)

Dense Passage Retrieval for Open-Domain Question Answering. - Vladimir Karpukhin; Barlas Oguz; Sewon Min; Ledell Wu; Sergey Edunov; Danqi Chen 001; Wen-tau Yih (CoRR, 2020)

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 (NeurIPS, 2021)

DynamicRetriever: A Pre-training Model-based IR System with Neither Sparse nor Dense Index. - Yujia Zhou 002; Jing Yao; Zhicheng Dou; Ledell Wu; Ji-Rong Wen (CoRR, 2022)

Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer. - Yujia Zhou 002; Jing Yao; Zhicheng Dou; Ledell Wu; Peitian Zhang; Ji-Rong Wen (CoRR, 2022)

PTab: Using the Pre-trained Language Model for Modeling Tabular Data. - Guang Liu 006; Jie Yang; Ledell Wu (CoRR, 2022)

AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities. - Zhongzhi Chen; Guang Liu 006; Bo-Wen Zhang 011; Fulong Ye; Qinghong Yang; Ledell Wu (CoRR, 2022)

Multilingual Autoregressive Entity Linking. - Nicola De Cao; Ledell Wu; Kashyap Popat; Mikel Artetxe; Naman Goyal 001; Mikhail Plekhanov; Luke Zettlemoyer; Nicola Cancedda; Sebastian Riedel 001; Fabio Petroni (Trans. Assoc. Comput. Linguistics, 2022)

AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities. - Zhongzhi Chen; Guang Liu 006; Bo-Wen Zhang 011; Qinghong Yang; Ledell Wu (ACL (Findings), 2023)

EVA: Exploring the Limits of Masked Visual Representation Learning at Scale. - Yuxin Fang; Wen Wang 015; Binhui Xie; Quan Sun; Ledell Wu; Xinggang Wang; Tiejun Huang 003; Xinlong Wang; Yue Cao 001 (CVPR, 2023)

EVA-CLIP: Improved Training Techniques for CLIP at Scale. - Quan Sun; Yuxin Fang; Ledell Wu; Xinlong Wang; Yue Cao 001 (CoRR, 2023)

UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data. - Yazheng Yang; Yuqi Wang 003; Guang Liu 006; Ledell Wu; Qi Liu 049 (CoRR, 2023)

DynamicRetriever: A Pre-trained Model-based IR System Without an Explicit Index. - Yujia Zhou 002; Jing Yao; Zhicheng Dou; Ledell Wu; Ji-Rong Wen (Mach. Intell. Res., 2023)

AltDiffusion: A Multilingual Text-to-Image Diffusion Model. - Fulong Ye; Guang Liu 006; Xinya Wu; Ledell Wu (AAAI, 2024)

UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science. - Yazheng Yang; Yuqi Wang 003; Guang Liu 006; Ledell Wu; Qi Liu 049 (ICLR, 2024)

WebUltron: An Ultimate Retriever on Webpages Under the Model-Centric Paradigm. - Yujia Zhou 002; Jing Yao; Ledell Wu; Zhicheng Dou; Ji-Rong Wen (IEEE Trans. Knowl. Data Eng., 2024)

ROGER: Ranking-Oriented Generative Retrieval. - Yujia Zhou 002; Jing Yao; Zhicheng Dou; Yiteng Tu; Ledell Wu; Tat-Seng Chua; Ji-Rong Wen (ACM Trans. Inf. Syst., 2024)