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Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning
  through Logical Fallacy Understanding

Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding

4 April 2024
Yanda Li
Dixuan Wang
Jiaqing Liang
Guochao Jiang
Qi He
Yanghua Xiao
Deqing Yang
    LRM
    ELM
ArXivPDFHTML

Papers citing "Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding"

3 / 3 papers shown
Title
Disentangling Logic: The Role of Context in Large Language Model
  Reasoning Capabilities
Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities
Wenyue Hua
Kaijie Zhu
Lingyao Li
Lizhou Fan
Shuhang Lin
Mingyu Jin
Haochen Xue
Zelong Li
Jindong Wang
Yongfeng Zhang
LRM
64
9
0
04 Jun 2024
Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and
  the Case of Information Extraction
Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction
Martin Josifoski
Marija Sakota
Maxime Peyrard
Robert West
SyDa
58
78
0
07 Mar 2023
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
333
11,953
0
04 Mar 2022
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