Retrieve-Plan-Generation: An Iterative Planning and Answering Framework
for Knowledge-Intensive LLM Generation

Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation

21 June 2024

Yuanjie Lyu

Chao Zhang

Yang Wang

Enhong Chen

Papers citing "Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation"

9 / 9 papers shown

Title
PaRT: Enhancing Proactive Social Chatbots with Personalized Real-Time Retrieval Zihan Niu Zheyong Xie Shaosheng Cao Chonggang Lu Zheyu Ye ... Yan Gao Jia Chen Zhe Xu Yi-Chen Wu Yao Hu 34 0 0 29 Apr 2025
RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation Pengcheng Jiang Lang Cao Ruike Zhu Minhao Jiang Yunyi Zhang Jiashuo Sun J. Han RALM 85 0 0 16 Feb 2025
In-Context Former: Lightning-fast Compressing Context for Large Language Model Xiangfeng Wang Zaiyi Chen Zheyong Xie Tong Xu Yongyi He Enhong Chen 40 1 0 19 Jun 2024
Large Language Models for Generative Information Extraction: A Survey Derong Xu Wei-neng Chen Wenjun Peng Chao Zhang Tong Xu Xiangyu Zhao Xian Wu Yefeng Zheng Yang Wang Enhong Chen 43 144 0 29 Dec 2023
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Akari Asai Zeqiu Wu Yizhong Wang Avirup Sil Hannaneh Hajishirzi RALM 171 631 0 17 Oct 2023
Rethinking with Retrieval: Faithful Large Language Model Inference Hangfeng He Hongming Zhang Dan Roth KELM LRM 141 157 0 31 Dec 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 238 806 0 14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 2021
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 261 4,489 0 23 Jan 2020