REPLUG: Retrieval-Augmented Black-Box Language Models

REPLUG: Retrieval-Augmented Black-Box Language Models

30 January 2023

Weijia Shi

Michihiro Yasunaga

Luke Zettlemoyer

Papers citing "REPLUG: Retrieval-Augmented Black-Box Language Models"

7 / 457 papers shown

Title
Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model Parishad BehnamGhader Santiago Miret Siva Reddy ReLM LRM 8 35 0 18 Dec 2022
Retrieval-Augmented Multimodal Language Modeling Michihiro Yasunaga Armen Aghajanyan Weijia Shi Rich James J. Leskovec Percy Liang M. Lewis Luke Zettlemoyer Wen-tau Yih RALM 11 95 0 22 Nov 2022
PromptCap: Prompt-Guided Task-Aware Image Captioning Yushi Hu Hang Hua Zhengyuan Yang Weijia Shi Noah A. Smith Jiebo Luo 28 101 0 15 Nov 2022
Generate rather than Retrieve: Large Language Models are Strong Context Generators W. Yu Dan Iter Shuohang Wang Yichong Xu Mingxuan Ju Soumya Sanyal Chenguang Zhu Michael Zeng Meng-Long Jiang RALM AIMat 215 318 0 21 Sep 2022
Training Language Models with Memory Augmentation Zexuan Zhong Tao Lei Danqi Chen RALM 226 126 0 25 May 2022
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 245 1,977 0 31 Dec 2020
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering Yingqi Qu Yuchen Ding Jing Liu Kai Liu Ruiyang Ren Xin Zhao Daxiang Dong Hua-Hong Wu Haifeng Wang RALM OffRL 206 593 0 16 Oct 2020