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Self-Consistency Improves Chain of Thought Reasoning in Language Models
v1v2v3v4 (latest)

Self-Consistency Improves Chain of Thought Reasoning in Language Models

21 March 2022
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
    ReLMBDLLRMAI4CE
ArXiv (abs)PDFHTML

Papers citing "Self-Consistency Improves Chain of Thought Reasoning in Language Models"

50 / 908 papers shown
Title
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in
  Large Language Models
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
Jiashuo Sun
Yi Luo
Yeyun Gong
Chen Lin
Yelong Shen
Jian Guo
Nan Duan
LRM
109
21
0
23 Apr 2023
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes
Simran Arora
Brandon Yang
Sabri Eyuboglu
A. Narayan
Andrew Hojel
Immanuel Trummer
Christopher Ré
SyDa
135
85
0
19 Apr 2023
ArguGPT: evaluating, understanding and identifying argumentative essays
  generated by GPT models
ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models
Yikang Liu
Ziyin Zhang
Wanyang Zhang
Shisen Yue
Xiaojing Zhao
Xinyuan Cheng
Yiwen Zhang
Hai Hu
DeLMO
103
55
0
16 Apr 2023
Evaluation of ChatGPT Family of Models for Biomedical Reasoning and
  Classification
Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification
Shan Chen
Yingya Li
Sheng Lu
Hoang Van
Hugo J. W. L. Aerts
G. Savova
Danielle S. Bitterman
LM&MAAI4MHELM
71
47
0
05 Apr 2023
REFINER: Reasoning Feedback on Intermediate Representations
REFINER: Reasoning Feedback on Intermediate Representations
Debjit Paul
Mete Ismayilzada
Maxime Peyrard
Beatriz Borges
Antoine Bosselut
Robert West
Boi Faltings
ReLMLRM
134
182
0
04 Apr 2023
Mastering Symbolic Operations: Augmenting Language Models with Compiled
  Neural Networks
Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks
Yixuan Weng
Minjun Zhu
Fei Xia
Bin Li
Shizhu He
Kang Liu
Jun Zhao
88
6
0
04 Apr 2023
GPT-4 can pass the Korean National Licensing Examination for Korean
  Medicine Doctors
GPT-4 can pass the Korean National Licensing Examination for Korean Medicine Doctors
Dongyeop Jang
Tae-Rim Yun
Choong-Yeol Lee
Young-Kyu Kwon
Chang-Eop Kim
ELMLM&MA
67
29
0
31 Mar 2023
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging
  Face
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Yongliang Shen
Kaitao Song
Xu Tan
Dongsheng Li
Weiming Lu
Yueting Zhuang
MLLM
151
913
0
30 Mar 2023
Large Language Models are Diverse Role-Players for Summarization
  Evaluation
Large Language Models are Diverse Role-Players for Summarization Evaluation
Ning Wu
Ming Gong
Linjun Shou
Shining Liang
Daxin Jiang
135
69
0
27 Mar 2023
Natural Language Reasoning, A Survey
Natural Language Reasoning, A Survey
Fei Yu
Hongbo Zhang
Prayag Tiwari
Benyou Wang
ReLMLRM
171
63
0
26 Mar 2023
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph
  Databases
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases
Hongyu Ren
Mikhail Galkin
Michael Cochez
Zhaocheng Zhu
J. Leskovec
NAIGNN
122
38
0
26 Mar 2023
Capabilities of GPT-4 on Medical Challenge Problems
Capabilities of GPT-4 on Medical Challenge Problems
Harsha Nori
Nicholas King
S. McKinney
Dean Carignan
Eric Horvitz
LM&MAELMAI4MH
156
812
0
20 Mar 2023
How Many Demonstrations Do You Need for In-context Learning?
How Many Demonstrations Do You Need for In-context Learning?
Jiuhai Chen
Lichang Chen
Chen Zhu
Dinesh Manocha
LRM
94
43
0
14 Mar 2023
Larger language models do in-context learning differently
Larger language models do in-context learning differently
Jerry W. Wei
Jason W. Wei
Yi Tay
Dustin Tran
Albert Webson
...
Xinyun Chen
Hanxiao Liu
Da Huang
Denny Zhou
Tengyu Ma
ReLMLRM
125
374
0
07 Mar 2023
CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation
  Verification
CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification
Seungone Kim
Se June Joo
Yul Jang
Hyungjoo Chae
Jinyoung Yeo
LRM
71
12
0
07 Mar 2023
Efficient Informed Proposals for Discrete Distributions via Newton's
  Series Approximation
Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation
Yue Xiang
Dongyao Zhu
Bowen Lei
Dongkuan Xu
Ruqi Zhang
71
6
0
27 Feb 2023
Can ChatGPT Understand Too? A Comparative Study on ChatGPT and
  Fine-tuned BERT
Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT
Qihuang Zhong
Liang Ding
Juhua Liu
Bo Du
Dacheng Tao
AI4MH
127
245
0
19 Feb 2023
Complex QA and language models hybrid architectures, Survey
Complex QA and language models hybrid architectures, Survey
Xavier Daull
P. Bellot
Emmanuel Bruno
Vincent Martin
Elisabeth Murisasco
ELM
212
16
0
17 Feb 2023
LEVER: Learning to Verify Language-to-Code Generation with Execution
LEVER: Learning to Verify Language-to-Code Generation with Execution
Ansong Ni
Srini Iyer
Dragomir R. Radev
Ves Stoyanov
Wen-tau Yih
Sida I. Wang
Xi Lin
142
226
0
16 Feb 2023
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark
D. Ribeiro
Shen Wang
Xiaofei Ma
He Zhu
Rui Dong
...
William Yang Wang
Zhiheng Huang
George Karypis
Bing Xiang
Dan Roth
LRMReLM
84
23
0
13 Feb 2023
Compositional Exemplars for In-context Learning
Compositional Exemplars for In-context Learning
Jiacheng Ye
Zhiyong Wu
Jiangtao Feng
Tao Yu
Lingpeng Kong
151
134
0
11 Feb 2023
Faithful Chain-of-Thought Reasoning
Faithful Chain-of-Thought Reasoning
Qing Lyu
Shreya Havaldar
Adam Stein
Li Zhang
D. Rao
Eric Wong
Marianna Apidianaki
Chris Callison-Burch
ReLMLRM
171
229
0
31 Jan 2023
Understanding Finetuning for Factual Knowledge Extraction from Language
  Models
Understanding Finetuning for Factual Knowledge Extraction from Language Models
Mehran Kazemi
Sid Mittal
Deepak Ramachandran
KELM
102
11
0
26 Jan 2023
Bike Frames: Understanding the Implicit Portrayal of Cyclists in the
  News
Bike Frames: Understanding the Implicit Portrayal of Cyclists in the News
Xingmeng Zhao
Dan Schumacher
Sashank Nalluri
Xavier Walton
Suhana Shrestha
Anthony Rios
53
2
0
15 Jan 2023
World Models and Predictive Coding for Cognitive and Developmental
  Robotics: Frontiers and Challenges
World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges
T. Taniguchi
Shingo Murata
Masahiro Suzuki
D. Ognibene
Pablo Lanillos
...
L. Jamone
Tomoaki Nakamura
Alejandra Ciria
B. Lara
G. Pezzulo
103
57
0
14 Jan 2023
Rethinking with Retrieval: Faithful Large Language Model Inference
Rethinking with Retrieval: Faithful Large Language Model Inference
Hangfeng He
Hongming Zhang
Dan Roth
KELMLRM
242
169
0
31 Dec 2022
Demonstrate-Search-Predict: Composing retrieval and language models for
  knowledge-intensive NLP
Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP
Omar Khattab
Keshav Santhanam
Xiang Lisa Li
David Leo Wright Hall
Percy Liang
Christopher Potts
Matei A. Zaharia
RALMKELM
114
269
0
28 Dec 2022
Large Language Models Encode Clinical Knowledge
Large Language Models Encode Clinical Knowledge
K. Singhal
Shekoofeh Azizi
T. Tu
S. S. Mahdavi
Jason W. Wei
...
A. Rajkomar
Joelle Barral
Christopher Semturs
Alan Karthikesalingam
Vivek Natarajan
LM&MAELMAI4MH
296
2,414
0
26 Dec 2022
What do LLMs Know about Financial Markets? A Case Study on Reddit Market
  Sentiment Analysis
What do LLMs Know about Financial Markets? A Case Study on Reddit Market Sentiment Analysis
Xiang Deng
Vasilisa Bashlovkina
Feng Han
Simon Baumgartner
Michael Bendersky
73
46
0
21 Dec 2022
A Survey of Deep Learning for Mathematical Reasoning
A Survey of Deep Learning for Mathematical Reasoning
Pan Lu
Liang Qiu
Wenhao Yu
Sean Welleck
Kai-Wei Chang
ReLMLRM
133
150
0
20 Dec 2022
Towards Reasoning in Large Language Models: A Survey
Towards Reasoning in Large Language Models: A Survey
Jie Huang
Kevin Chen-Chuan Chang
LM&MAELMLRM
184
645
0
20 Dec 2022
Large Language Models Are Reasoning Teachers
Large Language Models Are Reasoning Teachers
Namgyu Ho
Laura Schmid
Se-Young Yun
ReLMELMLRM
135
351
0
20 Dec 2022
Towards Understanding Chain-of-Thought Prompting: An Empirical Study of
  What Matters
Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Boshi Wang
Sewon Min
Xiang Deng
Jiaming Shen
You Wu
Luke Zettlemoyer
Huan Sun
LRMReLM
122
252
0
20 Dec 2022
Visconde: Multi-document QA with GPT-3 and Neural Reranking
Visconde: Multi-document QA with GPT-3 and Neural Reranking
Jayr Pereira
R. Fidalgo
R. Lotufo
Rodrigo Nogueira
BDLRALM
78
33
0
19 Dec 2022
Reasoning with Language Model Prompting: A Survey
Reasoning with Language Model Prompting: A Survey
Shuofei Qiao
Yixin Ou
Ningyu Zhang
Xiang Chen
Yunzhi Yao
Shumin Deng
Chuanqi Tan
Fei Huang
Huajun Chen
ReLMELMLRM
232
327
0
19 Dec 2022
Natural Language to Code Generation in Interactive Data Science
  Notebooks
Natural Language to Code Generation in Interactive Data Science Notebooks
Pengcheng Yin
Wen-Ding Li
Kefan Xiao
Abhishek Rao
Yeming Wen
...
Paige Bailey
Michele Catasta
Henryk Michalewski
Oleksandr Polozov
Charles Sutton
85
66
0
19 Dec 2022
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text
  Generation
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation
Swarnadeep Saha
Xinyan Velocity Yu
Joey Tianyi Zhou
Ramakanth Pasunuru
Asli Celikyilmaz
ReLMLRM
59
11
0
16 Dec 2022
Teaching Small Language Models to Reason
Teaching Small Language Models to Reason
Lucie Charlotte Magister
Jonathan Mallinson
Jakub Adamek
Eric Malmi
Aliaksei Severyn
LRMAI4CEReLM
230
267
0
16 Dec 2022
ALERT: Adapting Language Models to Reasoning Tasks
ALERT: Adapting Language Models to Reasoning Tasks
Ping Yu
Tianlu Wang
O. Yu. Golovneva
Badr AlKhamissi
Siddharth Verma
Zhijing Jin
Gargi Ghosh
Mona T. Diab
Asli Celikyilmaz
ReLMLRM
85
19
0
16 Dec 2022
FiDO: Fusion-in-Decoder optimized for stronger performance and faster
  inference
FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference
Michiel de Jong
Yury Zemlyanskiy
Joshua Ainslie
Nicholas FitzGerald
Sumit Sanghai
Fei Sha
William W. Cohen
VLM
73
36
0
15 Dec 2022
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in
  Zero-Shot Reasoning
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning
Omar Shaikh
Hongxin Zhang
William B. Held
Michael S. Bernstein
Diyi Yang
ReLMLRM
162
200
0
15 Dec 2022
ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning
ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning
O. Yu. Golovneva
Moya Chen
Spencer Poff
Martin Corredor
Luke Zettlemoyer
Maryam Fazel-Zarandi
Asli Celikyilmaz
ReLMLRM
104
152
0
15 Dec 2022
Prompting Is Programming: A Query Language for Large Language Models
Prompting Is Programming: A Query Language for Large Language Models
Luca Beurer-Kellner
Marc Fischer
Martin Vechev
LRM
161
105
0
12 Dec 2022
Harnessing Knowledge and Reasoning for Human-Like Natural Language
  Generation: A Brief Review
Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Review
Jiangjie Chen
Yanghua Xiao
116
5
0
07 Dec 2022
Improving Zero-shot Generalization and Robustness of Multi-modal Models
Improving Zero-shot Generalization and Robustness of Multi-modal Models
Yunhao Ge
Jie Jessie Ren
Andrew Gallagher
Yuxiao Wang
Ming-Hsuan Yang
Hartwig Adam
Laurent Itti
Balaji Lakshminarayanan
Jiaping Zhao
VLM
111
37
0
04 Dec 2022
Solving math word problems with process- and outcome-based feedback
Solving math word problems with process- and outcome-based feedback
J. Uesato
Nate Kushman
Ramana Kumar
Francis Song
Noah Y. Siegel
L. Wang
Antonia Creswell
G. Irving
I. Higgins
FaMLReLMAIMatLRM
135
362
0
25 Nov 2022
Complementary Explanations for Effective In-Context Learning
Complementary Explanations for Effective In-Context Learning
Xi Ye
Srini Iyer
Asli Celikyilmaz
Ves Stoyanov
Greg Durrett
Ramakanth Pasunuru
ReLMLRM
112
96
0
25 Nov 2022
Program of Thoughts Prompting: Disentangling Computation from Reasoning
  for Numerical Reasoning Tasks
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
Wenhu Chen
Xueguang Ma
Xinyi Wang
William W. Cohen
ReLMReCodLRM
244
829
0
22 Nov 2022
Unsupervised Explanation Generation via Correct Instantiations
Unsupervised Explanation Generation via Correct Instantiations
Sijie Cheng
Zhiyong Wu
Jiangjie Chen
Zhixing Li
Yang Liu
Lingpeng Kong
ReLMLRM
80
5
0
21 Nov 2022
PAL: Program-aided Language Models
PAL: Program-aided Language Models
Luyu Gao
Aman Madaan
Shuyan Zhou
Uri Alon
Pengfei Liu
Yiming Yang
Jamie Callan
Graham Neubig
ReLMLRM
131
462
0
18 Nov 2022
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