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Learning to Check: Unleashing Potentials for Self-Correction in Large
  Language Models

Learning to Check: Unleashing Potentials for Self-Correction in Large Language Models

20 February 2024
Che Zhang
Zhenyang Xiao
Chengcheng Han
Yixin Lian
Yuejian Fang
    LRM
ArXivPDFHTML

Papers citing "Learning to Check: Unleashing Potentials for Self-Correction in Large Language Models"

3 / 3 papers shown
Title
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for
  Reasoning Problems
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems
Kaya Stechly
Matthew Marquez
Subbarao Kambhampati
LRM
153
84
0
19 Oct 2023
ReAct: Synergizing Reasoning and Acting in Language Models
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao
Jeffrey Zhao
Dian Yu
Nan Du
Izhak Shafran
Karthik Narasimhan
Yuan Cao
LLMAG
ReLM
LRM
208
2,413
0
06 Oct 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
297
3,163
0
21 Mar 2022
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