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Self-Consistency Improves Chain of Thought Reasoning in Language Models

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
    ReLM
    BDL
    LRM
    AI4CE
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Papers citing "Self-Consistency Improves Chain of Thought Reasoning in Language Models"

50 / 250 papers shown
Title
Reasoning Models Don't Always Say What They Think
Reasoning Models Don't Always Say What They Think
Yanda Chen
Joe Benton
Ansh Radhakrishnan
Jonathan Uesato
Carson E. Denison
...
Vlad Mikulik
Samuel R. Bowman
Jan Leike
Jared Kaplan
E. Perez
ReLM
LRM
62
7
1
08 May 2025
G-FOCUS: Towards a Robust Method for Assessing UI Design Persuasiveness
G-FOCUS: Towards a Robust Method for Assessing UI Design Persuasiveness
Jaehyun Jeon
Janghan Yoon
Minsoo Kim
Sumin Shim
Yejin Choi
Hanbin Kim
Youngjae Yu
AAML
26
0
0
08 May 2025
Towards conversational assistants for health applications: using ChatGPT to generate conversations about heart failure
Towards conversational assistants for health applications: using ChatGPT to generate conversations about heart failure
Anuja Tayal
Devika Salunke
Barbara Di Eugenio
Paula Allen-Meares
Eulalia P Abril
Olga Garcia-Bedoya
Carolyn Dickens
Andrew D. Boyd
LM&MA
AI4MH
39
0
0
06 May 2025
Knowledge Augmented Complex Problem Solving with Large Language Models: A Survey
Knowledge Augmented Complex Problem Solving with Large Language Models: A Survey
Da Zheng
Lun Du
Junwei Su
Yuchen Tian
Yuqi Zhu
Jintian Zhang
Lanning Wei
Ningyu Zhang
H. Chen
LRM
31
0
0
06 May 2025
A Hashgraph-Inspired Consensus Mechanism for Reliable Multi-Model Reasoning
A Hashgraph-Inspired Consensus Mechanism for Reliable Multi-Model Reasoning
Kolawole E. Ogunsina
Morayo A. Ogunsina
19
0
0
06 May 2025
Improving Model Alignment Through Collective Intelligence of Open-Source LLMS
Improving Model Alignment Through Collective Intelligence of Open-Source LLMS
Junlin Wang
Roy Xie
Shang Zhu
Jue Wang
Ben Athiwaratkun
Bhuwan Dhingra
S. Song
Ce Zhang
James Y. Zou
ALM
22
0
0
05 May 2025
Recursive Decomposition with Dependencies for Generic Divide-and-Conquer Reasoning
Recursive Decomposition with Dependencies for Generic Divide-and-Conquer Reasoning
Sergio Hernández-Gutiérrez
Minttu Alakuijala
Alexander Nikitin
Pekka Marttinen
LRM
31
2
0
05 May 2025
FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Models
FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Models
Zhouliang Yu
Ruotian Peng
Keyi Ding
Y. K. Li
Zhongyuan Peng
...
Huajian Xin
W. R. Huang
Yandong Wen
Ge Zhang
Weiyang Liu
LRM
30
0
0
05 May 2025
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models
Xiaobao Wu
LRM
60
0
0
05 May 2025
Invoke Interfaces Only When Needed: Adaptive Invocation for Large Language Models in Question Answering
Invoke Interfaces Only When Needed: Adaptive Invocation for Large Language Models in Question Answering
Jihao Zhao
Chunlai Zhou
Biao Qin
40
0
0
05 May 2025
34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery
34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery
Yoel Zimmermann
Adib Bazgir
Alexander H Al-Feghali
Mehrad Ansari
L. C. Brinson
...
Shang Zhu
Jan Janssen
Calvin Li
Ian T. Foster
B. Blaiszik
31
0
0
05 May 2025
Understanding LLM Scientific Reasoning through Promptings and Model's Explanation on the Answers
Understanding LLM Scientific Reasoning through Promptings and Model's Explanation on the Answers
Alice Rueda
Mohammed S. Hassan
Argyrios Perivolaris
Bazen G. Teferra
Reza Samavi
...
Y. Wu
Y. Zhang
Bo Cao
Divya Sharma
Sridhar Krishnan Venkat Bhat
ELM
LRM
43
0
0
02 May 2025
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
Liaoyaqi Wang
Zhengping Jiang
Anqi Liu
Benjamin Van Durme
47
0
0
02 May 2025
Multi-agents based User Values Mining for Recommendation
Multi-agents based User Values Mining for Recommendation
L. Chen
Wei Yuan
Tong Chen
Xiangyu Zhao
Nguyen Quoc Viet Hung
Hongzhi Yin
OffRL
30
0
0
02 May 2025
On the generalization of language models from in-context learning and finetuning: a controlled study
On the generalization of language models from in-context learning and finetuning: a controlled study
Andrew Kyle Lampinen
Arslan Chaudhry
Stephanie Chan
Cody Wild
Diane Wan
Alex Ku
Jorg Bornschein
Razvan Pascanu
Murray Shanahan
James L. McClelland
46
0
0
01 May 2025
SmallPlan: Leverage Small Language Models for Sequential Path Planning with Simulation-Powered, LLM-Guided Distillation
SmallPlan: Leverage Small Language Models for Sequential Path Planning with Simulation-Powered, LLM-Guided Distillation
Quang P.M. Pham
Khoi T.N. Nguyen
Nhi H. Doan
Cuong Pham
Kentaro Inui
Dezhen Song
54
0
0
01 May 2025
Visual Test-time Scaling for GUI Agent Grounding
Visual Test-time Scaling for GUI Agent Grounding
Tiange Luo
Lajanugen Logeswaran
Justin Johnson
Honglak Lee
43
0
0
01 May 2025
Empowering Agentic Video Analytics Systems with Video Language Models
Empowering Agentic Video Analytics Systems with Video Language Models
Yuxuan Yan
Shiqi Jiang
Ting Cao
Y. Yang
Qianqian Yang
Yuanchao Shu
Y. Yang
Lili Qiu
VLM
67
0
0
01 May 2025
Consistency in Language Models: Current Landscape, Challenges, and Future Directions
Consistency in Language Models: Current Landscape, Challenges, and Future Directions
Jekaterina Novikova
Carol Anderson
Borhane Blili-Hamelin
Subhabrata Majumdar
HILM
64
0
0
01 May 2025
Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs
Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs
Jinyan Su
Jennifer Healey
Preslav Nakov
Claire Cardie
LRM
44
0
0
30 Apr 2025
Turing Machine Evaluation for Large Language Model
Turing Machine Evaluation for Large Language Model
Haitao Wu
Zongbo Han
Huaxi Huang
Changqing Zhang
ELM
LRM
54
0
0
29 Apr 2025
Beyond the Last Answer: Your Reasoning Trace Uncovers More than You Think
Beyond the Last Answer: Your Reasoning Trace Uncovers More than You Think
Hasan Hammoud
Hani Itani
Bernard Ghanem
ReLM
LRM
64
0
0
29 Apr 2025
Accurate and Diverse LLM Mathematical Reasoning via Automated PRM-Guided GFlowNets
Accurate and Diverse LLM Mathematical Reasoning via Automated PRM-Guided GFlowNets
Adam Younsi
Abdalgader Abubaker
M. Seddik
Hakim Hacid
Salem Lahlou
LRM
54
0
0
28 Apr 2025
BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text
BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text
Jiageng Wu
Bowen Gu
Ren Zhou
Kevin Xie
Doug Snyder
...
S.
Jonathan H. Chen
Santiago Romero-Brufau
K. J. Lin
Jie Yang
LM&MA
ELM
92
0
0
28 Apr 2025
AndroidGen: Building an Android Language Agent under Data Scarcity
AndroidGen: Building an Android Language Agent under Data Scarcity
Hanyu Lai
Junjie Gao
Xiao-Yang Liu
Y. Xu
S. Zhang
Yuxiao Dong
Jie Tang
LLMAG
72
0
0
27 Apr 2025
SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning
SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning
Jiaqi Chen
Bang Zhang
Ruotian Ma
Peisong Wang
Xiaodan Liang
Zhaopeng Tu
X. Li
Kwan-Yee Kenneth Wong
LLMAG
ReLM
LRM
79
0
0
27 Apr 2025
Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble Scorers
Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble Scorers
Dylan Bouchard
Mohit Singh Chauhan
HILM
67
0
0
27 Apr 2025
Towards Robust Dialogue Breakdown Detection: Addressing Disruptors in Large Language Models with Self-Guided Reasoning
Towards Robust Dialogue Breakdown Detection: Addressing Disruptors in Large Language Models with Self-Guided Reasoning
Abdellah Ghassel
Xianzhi Li
Xiaodan Zhu
40
0
0
26 Apr 2025
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Toghrul Abbasli
Kentaroh Toyoda
Yuan Wang
Leon Witt
Muhammad Asif Ali
Yukai Miao
Dan Li
Qingsong Wei
UQCV
77
0
0
25 Apr 2025
AI Awareness
AI Awareness
X. Li
Haoyuan Shi
Rongwu Xu
Wei Xu
54
0
0
25 Apr 2025
Towards Adaptive Software Agents for Debugging
Towards Adaptive Software Agents for Debugging
Yacine Majdoub
Eya Ben Charrada
Haifa Touati
LLMAG
67
0
0
25 Apr 2025
Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning
Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning
Josefa Lia Stoisser
Marc Boubnovski Martell
Julien Fauqueur
LMTD
ReLM
AI4TS
LRM
73
0
0
23 Apr 2025
LLM-based Semantic Augmentation for Harmful Content Detection
LLM-based Semantic Augmentation for Harmful Content Detection
Elyas Meguellati
Assaad Zeghina
S. Sadiq
Gianluca Demartini
22
0
0
22 Apr 2025
TTRL: Test-Time Reinforcement Learning
TTRL: Test-Time Reinforcement Learning
Yuxin Zuo
Kaiyan Zhang
Shang Qu
Li Sheng
Xuekai Zhu
Biqing Qi
Youbang Sun
Ganqu Cui
Ning Ding
Bowen Zhou
OffRL
32
1
0
22 Apr 2025
BELL: Benchmarking the Explainability of Large Language Models
BELL: Benchmarking the Explainability of Large Language Models
Syed Quiser Ahmed
Bharathi Vokkaliga Ganesh
Jagadish Babu P
Karthick Selvaraj
ReddySiva Naga Parvathi Devi
Sravya Kappala
ELM
72
0
0
22 Apr 2025
Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models
Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models
Tri Nguyen
Lohith Srikanth Pentapalli
Magnus Sieverding
Laurah Turner
Seth Overla
...
Michael Gharib
Matt Kelleher
Michael Shukis
Cameron Pawlik
Kelly Cohen
48
0
0
21 Apr 2025
Clarifying Ambiguities: on the Role of Ambiguity Types in Prompting Methods for Clarification Generation
Clarifying Ambiguities: on the Role of Ambiguity Types in Prompting Methods for Clarification Generation
Anfu Tang
Laure Soulier
Vincent Guigue
LRM
60
0
0
16 Apr 2025
Teaching Large Language Models to Reason through Learning and Forgetting
Teaching Large Language Models to Reason through Learning and Forgetting
Tianwei Ni
Allen Nie
Sapana Chaudhary
Yao Liu
Huzefa Rangwala
Rasool Fakoor
ReLM
CLL
LRM
31
0
0
15 Apr 2025
Weight Ensembling Improves Reasoning in Language Models
Weight Ensembling Improves Reasoning in Language Models
Xingyu Dang
Christina Baek
Kaiyue Wen
Zico Kolter
Aditi Raghunathan
MoMe
LRM
54
1
0
14 Apr 2025
Using LLMs for Analyzing AIS Data
Using LLMs for Analyzing AIS Data
Gaspard Mertends
Gilles Dejaegere
Mahmoud Sakr
33
0
0
10 Apr 2025
Universal Collection of Euclidean Invariants between Pairs of Position-Orientations
Universal Collection of Euclidean Invariants between Pairs of Position-Orientations
Gijs Bellaard
B. Smets
R. Duits
44
0
0
04 Apr 2025
Generative Evaluation of Complex Reasoning in Large Language Models
Generative Evaluation of Complex Reasoning in Large Language Models
Haowei Lin
X. Wang
Ruilin Yan
Baizhou Huang
Haotian Ye
Jianhua Zhu
Zihao Wang
James Y. Zou
Jianzhu Ma
Yitao Liang
ReLM
ELM
LRM
73
0
0
03 Apr 2025
Affordable AI Assistants with Knowledge Graph of Thoughts
Affordable AI Assistants with Knowledge Graph of Thoughts
Maciej Besta
Lorenzo Paleari
Jia Hao Andrea Jiang
Robert Gerstenberger
You Wu
...
Jón Gunnar Hannesson
Grzegorz Kwa'sniewski
Marcin Copik
H. Niewiadomski
Torsten Hoefler
LLMAG
RALM
46
0
0
03 Apr 2025
CoLa -- Learning to Interactively Collaborate with Large LMs
CoLa -- Learning to Interactively Collaborate with Large LMs
Abhishek Sharma
Dan Goldwasser
LLMAG
SyDa
51
0
0
03 Apr 2025
Brains vs. Bytes: Evaluating LLM Proficiency in Olympiad Mathematics
Brains vs. Bytes: Evaluating LLM Proficiency in Olympiad Mathematics
Hamed Mahdavi
Alireza Hashemi
Majid Daliri
Pegah Mohammadipour
Alireza Farhadi
Samira Malek
Yekta Yazdanifard
Amir Khasahmadi
V. Honavar
ELM
LRM
30
1
0
01 Apr 2025
Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute
Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute
Jianhao Chen
Zishuo Xun
Bocheng Zhou
Han Qi
Qiaosheng Zhang
...
Wei Hu
Yuzhong Qu
W. Ouyang
Wanli Ouyang
Shuyue Hu
74
0
0
01 Apr 2025
Improved Visual-Spatial Reasoning via R1-Zero-Like Training
Improved Visual-Spatial Reasoning via R1-Zero-Like Training
Zhenyi Liao
Qingsong Xie
Yanhao Zhang
Zijian Kong
Haonan Lu
Zhenyu Yang
Zhijie Deng
ReLM
VLM
LRM
93
0
1
01 Apr 2025
Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
Zhanke Zhou
Zhaocheng Zhu
Xuan Li
Mikhail Galkin
Xiao Feng
Sanmi Koyejo
Jian Tang
Bo Han
LRM
36
0
0
28 Mar 2025
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
Jiakai Tang
Sunhao Dai
Teng Shi
Jun Xu
X. Chen
Wen Chen
Wu Jian
Yuning Jiang
LRM
47
5
0
28 Mar 2025
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
Yang Sui
Yu-Neng Chuang
Guanchu Wang
Jiamu Zhang
Tianyi Zhang
...
Hongyi Liu
Andrew Wen
Shaochen
Zhong
Hanjie Chen
OffRL
ReLM
LRM
55
21
0
20 Mar 2025
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