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RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in
  Long-Horizon Generation

RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation

8 March 2024
Zihao Wang
Anji Liu
Haowei Lin
Jiaqi Li
Xiaojian Ma
Yitao Liang
    ReLM
    RALM
    LRM
ArXivPDFHTML

Papers citing "RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation"

11 / 11 papers shown
Title
Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering Capabilities
Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering Capabilities
Zhonghao Li
Xuming Hu
Aiwei Liu
Kening Zheng
S. Huang
Hui Xiong
RALM
85
42
0
17 Jun 2024
Chain-of-Thought Reasoning Without Prompting
Chain-of-Thought Reasoning Without Prompting
Xuezhi Wang
Denny Zhou
ReLM
LRM
109
30
0
15 Feb 2024
Selecting Large Language Model to Fine-tune via Rectified Scaling Law
Selecting Large Language Model to Fine-tune via Rectified Scaling Law
Haowei Lin
Baizhou Huang
Haotian Ye
Qinyu Chen
Zihao Wang
Sujian Li
Jianzhu Ma
Xiaojun Wan
James Y. Zou
Yitao Liang
55
7
0
04 Feb 2024
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
114
216
0
17 Oct 2023
Chain-of-Knowledge: Grounding Large Language Models via Dynamic
  Knowledge Adapting over Heterogeneous Sources
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
Xingxuan Li
Ruochen Zhao
Yew Ken Chia
Bosheng Ding
Shafiq R. Joty
Soujanya Poria
Lidong Bing
HILM
BDL
LRM
52
38
0
22 May 2023
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of
  Large Language Models for Code Generation
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Jiawei Liu
Chun Xia
Yuyao Wang
Lingming Zhang
ELM
ALM
143
322
0
02 May 2023
Continual Training of Language Models for Few-Shot Learning
Continual Training of Language Models for Few-Shot Learning
Zixuan Ke
Haowei Lin
Yijia Shao
Hu Xu
Lei Shu
Bin Liu
KELM
BDL
CLL
58
26
0
11 Oct 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
285
2,625
0
24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
262
1,850
0
21 Mar 2022
Training language models to follow instructions with human feedback
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
298
7,763
0
04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
295
4,807
0
28 Jan 2022
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