MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. - Tri Nguyen; Mir Rosenberg; Xia Song; Jianfeng Gao 001; Saurabh Tiwary; Rangan Majumder; Li Deng 001 (CoCo@NIPS, 2016)

XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation. - Yaobo Liang; Nan Duan; Yeyun Gong; Ning Wu; Fenfei Guo; Weizhen Qi; Ming Gong 001; Linjun Shou; Daxin Jiang; Guihong Cao; Xiaodong Fan; Ruofei Zhang; et al. (EMNLP (1), 2020)

XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation. - Yaobo Liang; Nan Duan; Yeyun Gong; Ning Wu; Fenfei Guo; Weizhen Qi; Ming Gong 001; Linjun Shou; Daxin Jiang; Guihong Cao; Xiaodong Fan; Bruce Zhang; et al. (CoRR, 2020)

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. - Kun Zhou 002; Yeyun Gong; Xiao Liu 029; Wayne Xin Zhao; Yelong Shen; Anlei Dong; Jingwen Lu; Rangan Majumder; Ji-Rong Wen; Nan Duan (EMNLP (Industry Track), 2022)

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. - Kun Zhou 002; Yeyun Gong; Xiao Liu 029; Wayne Xin Zhao; Yelong Shen; Anlei Dong; Jingwen Lu; Rangan Majumder; Ji-Rong Wen; Nan Duan; Weizhu Chen (CoRR, 2022)

Text Embeddings by Weakly-Supervised Contrastive Pre-training. - Liang Wang 046; Nan Yang 002; Xiaolong Huang; Binxing Jiao; Linjun Yang; Daxin Jiang; Rangan Majumder; Furu Wei (CoRR, 2022)

LEAD: Liberal Feature-based Distillation for Dense Retrieval. - Hao Sun 015; Xiao Liu 029; Yeyun Gong; Anlei Dong; Jian Jiao 007; Jingwen Lu; Yan Zhang 117; Daxin Jiang; Linjun Yang; Rangan Majumder; Nan Duan (CoRR, 2022)

SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval. - Liang Wang 046; Nan Yang 002; Xiaolong Huang; Binxing Jiao; Linjun Yang; Daxin Jiang; Rangan Majumder; Furu Wei (ACL (1), 2023)

PROD: Progressive Distillation for Dense Retrieval. - Zhenghao Lin; Yeyun Gong; Xiao Liu 029; Hang Zhang 029; Chen Lin 001; Anlei Dong; Jian Jiao 007; Jingwen Lu; Daxin Jiang; Rangan Majumder; Nan Duan (WWW, 2023)

Inference with Reference: Lossless Acceleration of Large Language Models. - Nan Yang 002; Tao Ge 001; Liang Wang 046; Binxing Jiao; Daxin Jiang; Linjun Yang; Rangan Majumder; Furu Wei (CoRR, 2023)

BeamSearchQA: Large Language Models are Strong Zero-Shot QA Solver. - Hao Sun 015; Xiao Liu 029; Yeyun Gong; Anlei Dong; Jingwen Lu; Yan Zhang 117; Daxin Jiang; Linjun Yang; Rangan Majumder; Nan Duan (CoRR, 2023)

Large Search Model: Redefining Search Stack in the Era of LLMs. - Liang Wang 046; Nan Yang 002; Xiaolong Huang; Linjun Yang; Rangan Majumder; Furu Wei (SIGIR Forum, 2023)

Improving Text Embeddings with Large Language Models. - Liang Wang 046; Nan Yang 002; Xiaolong Huang; Linjun Yang; Rangan Majumder; Furu Wei (ACL (1), 2024)

LEAD: Liberal Feature-based Distillation for Dense Retrieval. - Hao Sun 015; Xiao Liu 029; Yeyun Gong; Anlei Dong; Jingwen Lu; Yan Zhang 117; Linjun Yang; Rangan Majumder; Nan Duan (WSDM, 2024)

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. - Qi Chen 009; Xiubo Geng; Corby Rosset; Carolyn Buractaon; Jingwen Lu; Tao Shen 001; Kun Zhou 002; Chenyan Xiong; Yeyun Gong; Paul N. Bennett; Nick Craswell; Xing Xie 001; et al. (WWW (Companion Volume), 2024)

Multilingual E5 Text Embeddings: A Technical Report. - Liang Wang 046; Nan Yang 002; Xiaolong Huang; Linjun Yang; Rangan Majumder; Furu Wei (CoRR, 2024)