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Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning

Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning

28 January 2025
Yanfang Zhang
Yiliu Sun
Yibing Zhan
Dapeng Tao
Dacheng Tao
Chen Gong
    LRM
    AI4CE
    LLMAG
ArXivPDFHTML

Papers citing "Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning"

6 / 6 papers shown
Title
WIBA: What Is Being Argued? A Comprehensive Approach to Argument Mining
WIBA: What Is Being Argued? A Comprehensive Approach to Argument Mining
Arman Irani
Ju Yeon Park
Kevin E. Esterling
Michalis Faloutsos
21
2
0
01 May 2024
Rethinking with Retrieval: Faithful Large Language Model Inference
Rethinking with Retrieval: Faithful Large Language Model Inference
Hangfeng He
Hongming Zhang
Dan Roth
KELM
LRM
132
151
0
31 Dec 2022
Compositional Semantic Parsing with Large Language Models
Compositional Semantic Parsing with Large Language Models
Andrew Drozdov
Nathanael Scharli
Ekin Akyuurek
Nathan Scales
Xinying Song
Xinyun Chen
Olivier Bousquet
Denny Zhou
ReLM
LRM
184
91
0
29 Sep 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
291
2,712
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
297
3,163
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
301
11,730
0
04 Mar 2022
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