Large Dual Encoders Are Generalizable Retrievers. - Jianmo Ni; Chen Qu 001; Jing Lu; Zhuyun Dai; Gustavo Hernández Ábrego; Ji Ma 004; Vincent Y. Zhao; Yi Luan; Keith B. Hall; Ming-Wei Chang; Yinfei Yang (EMNLP, 2022)

Finetuned Language Models are Zero-Shot Learners. - Jason Wei; Maarten Bosma; Vincent Y. Zhao; Kelvin Guu; Adams Wei Yu; Brian Lester; Nan Du 002; Andrew M. Dai; Quoc V. Le (ICLR, 2022)

Dialog Inpainting: Turning Documents into Dialogs. - Zhuyun Dai; Arun Tejasvi Chaganty; Vincent Y. Zhao; Aida Amini; Qazi Mamunur Rashid; Mike Green; Kelvin Guu (ICML, 2022)

Mixture-of-Experts with Expert Choice Routing. - Yanqi Zhou; Tao Lei; Hanxiao Liu; Nan Du 002; Yanping Huang; Vincent Y. Zhao; Andrew M. Dai; Zhifeng Chen; Quoc V. Le; James Laudon (NeurIPS, 2022)

Attributed Text Generation via Post-hoc Research and Revision. - Luyu Gao; Zhuyun Dai; Panupong Pasupat; Anthony Chen; Arun Tejasvi Chaganty; Yicheng Fan; Vincent Y. Zhao; Ni Lao; Hongrae Lee; Da-Cheng Juan; Kelvin Guu (CoRR, 2022)

Scaling Instruction-Finetuned Language Models. - Hyung Won Chung; Le Hou; Shayne Longpre; Barret Zoph; Yi Tay; William Fedus; Eric Li; Xuezhi Wang 002; Mostafa Dehghani 001; Siddhartha Brahma; Albert Webson; Shixiang Shane Gu; et al. (CoRR, 2022)

Multi-Vector Retrieval as Sparse Alignment. - Yujie Qian; Jinhyuk Lee; Sai Meher Karthik Duddu; Zhuyun Dai; Siddhartha Brahma; Iftekhar Naim; Tao Lei; Vincent Y. Zhao (CoRR, 2022)

RARR: Researching and Revising What Language Models Say, Using Language Models. - Luyu Gao; Zhuyun Dai; Panupong Pasupat; Anthony Chen; Arun Tejasvi Chaganty; Yicheng Fan; Vincent Y. Zhao; Ni Lao; Hongrae Lee; Da-Cheng Juan; Kelvin Guu (ACL (1), 2023)

Promptagator: Few-shot Dense Retrieval From 8 Examples. - Zhuyun Dai; Vincent Y. Zhao; Ji Ma 004; Yi Luan; Jianmo Ni; Jing Lu; Anton Bakalov; Kelvin Guu; Keith B. Hall; Ming-Wei Chang (ICLR, 2023)

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. - Tao Lei; Junwen Bai; Siddhartha Brahma; Joshua Ainslie; Kenton Lee; Yanqi Zhou; Nan Du 002; Vincent Y. Zhao; Yuexin Wu; Bo Li 028; Yu Zhang 033; Ming-Wei Chang (NeurIPS, 2023)

Rethinking the Role of Token Retrieval in Multi-Vector Retrieval. - Jinhyuk Lee; Zhuyun Dai; Sai Meher Karthik Duddu; Tao Lei; Iftekhar Naim; Ming-Wei Chang; Vincent Y. Zhao (CoRR, 2023)

Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. - Sheng Shen 001; Le Hou; Yanqi Zhou; Nan Du 002; Shayne Longpre; Jason Wei; Hyung Won Chung; Barret Zoph; William Fedus; Xinyun Chen; Tu Vu; Yuexin Wu; et al. (CoRR, 2023)

Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. - Sheng Shen 001; Le Hou; Yanqi Zhou; Nan Du 002; Shayne Longpre; Jason Wei; Hyung Won Chung; Barret Zoph; William Fedus; Xinyun Chen; Tu Vu; Yuexin Wu; et al. (ICLR, 2024)

Dr.ICL: Demonstration-Retrieved In-context Learning. - Man Luo 003; Xin Xu; Zhuyun Dai; Panupong Pasupat; Mehran Kazemi; Chitta Baral; Vaiva Imbrasaite; Vincent Y. Zhao (Data Intell., 2024)

Scaling Instruction-Finetuned Language Models. - Hyung Won Chung; Le Hou; Shayne Longpre; Barret Zoph; Yi Tay; William Fedus; Yunxuan Li; Xuezhi Wang 002; Mostafa Dehghani 001; Siddhartha Brahma; Albert Webson; Shixiang Shane Gu; et al. (J. Mach. Learn. Res., 2024)