A + B: A General Generator-Reader Framework for Optimizing LLMs to
Unleash Synergy Potential

A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential

6 June 2024

Yixin Cao

Bo Wang

Pengyuan Zhou

Papers citing "A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential"

4 / 4 papers shown

Title
Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory Xin Cheng Di Luo Xiuying Chen Lemao Liu Dongyan Zhao Rui Yan RALM 145 86 0 03 May 2023
Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionals Piotr Wojciech Mirowski Kory W. Mathewson Jaylen Pittman Richard Evans HAI 53 1 0 29 Sep 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 221 321 0 21 Sep 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