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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
Zihan Niu
Zheyong Xie
Chao Zhang
Tong Bill Xu
Yang Wang
Enhong Chen
    RALM
ArXivPDFHTML

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
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
24
0
0
29 Apr 2025
RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation
RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation
Pengcheng Jiang
Lang Cao
Ruike Zhu
Minhao Jiang
Yunyi Zhang
J. Sun
J. Han
RALM
75
0
0
16 Feb 2025
In-Context Former: Lightning-fast Compressing Context for Large Language
  Model
In-Context Former: Lightning-fast Compressing Context for Large Language Model
Xiangfeng Wang
Zaiyi Chen
Zheyong Xie
Tong Bill Xu
Yongyi He
Enhong Chen
27
1
0
19 Jun 2024
Large Language Models for Generative Information Extraction: A Survey
Large Language Models for Generative Information Extraction: A Survey
Derong Xu
Wei-neng Chen
Wenjun Peng
Chao Zhang
Tong Bill Xu
Xiangyu Zhao
Xian Wu
Yefeng Zheng
Yang Wang
Enhong Chen
38
137
0
29 Dec 2023
Self-RAG: Learning to Retrieve, Generate, and Critique through
  Self-Reflection
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Akari Asai
Zeqiu Wu
Yizhong Wang
Avirup Sil
Hannaneh Hajishirzi
RALM
144
600
0
17 Oct 2023
Rethinking with Retrieval: Faithful Large Language Model Inference
Rethinking with Retrieval: Faithful Large Language Model Inference
Hangfeng He
Hongming Zhang
Dan Roth
KELM
LRM
141
151
0
31 Dec 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
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
236
780
0
14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
278
3,784
0
18 Apr 2021
Scaling Laws for Neural Language Models
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
226
4,424
0
23 Jan 2020
1