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"

7 / 7 papers shown

Title
EvoWiki: Evaluating LLMs on Evolving Knowledge Wei Tang Yixin Cao Yang Deng Jiahao Ying Bo Wang ... Yuyue Zhao Qi Zhang Xuanjing Huang Yugang Jiang Yong Liao KELM 65 1 0 18 Dec 2024
LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement Jiahao Ying Mingbao Lin Yixin Cao Wei Tang Bo Wang Qianru Sun Xuanjing Huang Shuicheng Yan LRM 38 8 0 29 Jun 2024
QRMeM: Unleash the Length Limitation through Question then Reflection Memory Mechanism Bo Wang Heyan Huang Yixin Cao Jiahao Ying Wei Tang Chong Feng KELM 45 0 0 19 Jun 2024
Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory Xin Cheng Di Luo Xiuying Chen Lemao Liu Dongyan Zhao Rui Yan RALM 150 91 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 64 250 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 Jiang RALM AIMat 229 321 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 279 1,996 0 31 Dec 2020