FIT-RAG: Black-Box RAG with Factual Information and Token Reduction

21 March 2024

Papers citing "FIT-RAG: Black-Box RAG with Factual Information and Token Reduction"

7 / 7 papers shown

Title
CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models Feiyang Li Peng Fang Zhan Shi Arijit Khan Fang Wang Dan Feng Weihao Wang Xin Zhang Yongjian Cui ReLM LRM 45 1 0 18 Apr 2025
Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory Xin Cheng Di Luo Xiuying Chen Lemao Liu Dongyan Zhao Rui Yan RALM 153 91 0 03 May 2023
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 229 322 0 21 Sep 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 339 12,003 0 04 Mar 2022
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,858 0 18 Apr 2021
Distilling Knowledge from Reader to Retriever for Question Answering Gautier Izacard Edouard Grave RALM 185 251 0 08 Dec 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 264 4,489 0 23 Jan 2020