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Towards Understanding Chain-of-Thought Prompting: An Empirical Study of
  What Matters

Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

20 December 2022
Boshi Wang
Sewon Min
Xiang Deng
Jiaming Shen
You Wu
Luke Zettlemoyer
Huan Sun
    LRM
    ReLM
ArXivPDFHTML

Papers citing "Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters"

39 / 39 papers shown
Title
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
42
0
0
28 Mar 2025
How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach
How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach
Ayeong Lee
Ethan Che
Tianyi Peng
LRM
42
10
0
03 Mar 2025
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning
Ercong Nie
Bo Shao
Zifeng Ding
Mingyang Wang
Helmut Schmid
Hinrich Schütze
KELM
129
7
0
21 Feb 2025
PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection
PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection
Sepideh Mamooler
Syrielle Montariol
Alexander Mathis
Antoine Bosselut
78
1
0
16 Dec 2024
PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation
PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation
Qiyao Xue
Xiangyu Yin
Boyuan Yang
Wei Gao
DiffM
VGen
75
9
0
30 Nov 2024
Uncovering Autoregressive LLM Knowledge of Thematic Fit in Event
  Representation
Uncovering Autoregressive LLM Knowledge of Thematic Fit in Event Representation
Safeyah Khaled Alshemali
Daniel Bauer
Yuval Marton
BDL
38
0
0
19 Oct 2024
Sensitivity of Generative VLMs to Semantically and Lexically Altered
  Prompts
Sensitivity of Generative VLMs to Semantically and Lexically Altered Prompts
Sri Harsha Dumpala
Aman Jaiswal
Chandramouli Shama Sastry
E. Milios
Sageev Oore
Hassan Sajjad
VLM
16
2
0
16 Oct 2024
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
Zayne Sprague
Fangcong Yin
Juan Diego Rodriguez
Dongwei Jiang
Manya Wadhwa
Prasann Singhal
Xinyu Zhao
Xi Ye
Kyle Mahowald
Greg Durrett
ReLM
LRM
111
79
0
18 Sep 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Melkamu Mersha
Khang Lam
Joseph Wood
Ali AlShami
Jugal Kalita
XAI
AI4TS
60
26
0
30 Aug 2024
Visual Agents as Fast and Slow Thinkers
Visual Agents as Fast and Slow Thinkers
Guangyan Sun
Mingyu Jin
Zhenting Wang
Cheng-Long Wang
Siqi Ma
Qifan Wang
Ying Nian Wu
Ying Nian Wu
Dongfang Liu
Dongfang Liu
LLMAG
LRM
74
11
0
16 Aug 2024
Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering
Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering
Danfeng Guo
Sumitaka Honji
LRM
59
0
0
31 Jul 2024
DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion
DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion
Huiguo He
Huan Yang
Zixi Tuo
Yuan Zhou
Qiuyue Wang
Yuhang Zhang
Zeyu Liu
Wenhao Huang
Hongyang Chao
Jian Yin
DiffM
VGen
52
11
0
17 Jul 2024
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models
Daking Rai
Yilun Zhou
Shi Feng
Abulhair Saparov
Ziyu Yao
70
18
0
02 Jul 2024
Chain-of-Probe: Examining the Necessity and Accuracy of CoT Step-by-Step
Chain-of-Probe: Examining the Necessity and Accuracy of CoT Step-by-Step
Zezhong Wang
Xingshan Zeng
Weiwen Liu
Yufei Wang
Liangyou Li
Yasheng Wang
Lifeng Shang
Xin Jiang
Qun Liu
Kam-Fai Wong
LRM
49
3
0
23 Jun 2024
People will agree what I think: Investigating LLM's False Consensus Effect
People will agree what I think: Investigating LLM's False Consensus Effect
Junhyuk Choi
Yeseon Hong
Bugeun Kim
41
0
0
16 Jun 2024
Break the Chain: Large Language Models Can be Shortcut Reasoners
Break the Chain: Large Language Models Can be Shortcut Reasoners
Mengru Ding
Hanmeng Liu
Zhizhang Fu
Jian Song
Wenbo Xie
Yue Zhang
KELM
LRM
27
7
0
04 Jun 2024
ACCORD: Closing the Commonsense Measurability Gap
ACCORD: Closing the Commonsense Measurability Gap
François Roewer-Després
Jinyue Feng
Zining Zhu
Frank Rudzicz
LRM
32
0
0
04 Jun 2024
DaVinci at SemEval-2024 Task 9: Few-shot prompting GPT-3.5 for
  Unconventional Reasoning
DaVinci at SemEval-2024 Task 9: Few-shot prompting GPT-3.5 for Unconventional Reasoning
Suyash Vardhan Mathur
Akshett Rai Jindal
Manish Shrivastava
LRM
26
1
0
19 May 2024
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs
Yu Xia
Rui Wang
Xu Liu
Mingyan Li
Tong Yu
Xiang Chen
Julian McAuley
Shuai Li
LRM
41
16
0
24 Apr 2024
Learning to Maximize Mutual Information for Chain-of-Thought
  Distillation
Learning to Maximize Mutual Information for Chain-of-Thought Distillation
Xin Chen
Hanxian Huang
Yanjun Gao
Yi Wang
Jishen Zhao
Ke Ding
35
11
0
05 Mar 2024
GATE X-E : A Challenge Set for Gender-Fair Translations from
  Weakly-Gendered Languages
GATE X-E : A Challenge Set for Gender-Fair Translations from Weakly-Gendered Languages
Spencer Rarrick
Ranjita Naik
Sundar Poudel
Vishal Chowdhary
27
1
0
22 Feb 2024
RE-GAINS & EnChAnT: Intelligent Tool Manipulation Systems For Enhanced
  Query Responses
RE-GAINS & EnChAnT: Intelligent Tool Manipulation Systems For Enhanced Query Responses
Sahil Girhepuje
Siva Sankar Sajeev
Purvam Jain
Arya Sikder
Adithya Rama Varma
Ryan George
Akshay Govind Srinivasan
Mahendra Kurup
Ashmit Sinha
Sudip Mondal
RALM
22
0
0
28 Jan 2024
Gradable ChatGPT Translation Evaluation
Gradable ChatGPT Translation Evaluation
Hui Jiao
Bei Peng
Lu Zong
Xiaojun Zhang
Xinwei Li
28
1
0
18 Jan 2024
FinanceBench: A New Benchmark for Financial Question Answering
FinanceBench: A New Benchmark for Financial Question Answering
Pranab Islam
Anand Kannappan
Douwe Kiela
Rebecca Qian
Nino Scherrer
Bertie Vidgen
RALM
13
71
0
20 Nov 2023
R-Tuning: Instructing Large Language Models to Say `I Don't Know'
R-Tuning: Instructing Large Language Models to Say `I Don't Know'
Hanning Zhang
Shizhe Diao
Yong Lin
Yi Ren Fung
Qing Lian
Xingyao Wang
Yangyi Chen
Heng Ji
Tong Zhang
UQLM
27
36
0
16 Nov 2023
Self-Contradictory Reasoning Evaluation and Detection
Self-Contradictory Reasoning Evaluation and Detection
Ziyi Liu
Isabelle G. Lee
Yongkang Du
Soumya Sanyal
Jieyu Zhao
LRM
28
2
0
16 Nov 2023
Towards A Unified View of Answer Calibration for Multi-Step Reasoning
Towards A Unified View of Answer Calibration for Multi-Step Reasoning
Shumin Deng
Ningyu Zhang
Nay Oo
Bryan Hooi
LRM
25
1
0
15 Nov 2023
Empirical Study of Zero-Shot NER with ChatGPT
Empirical Study of Zero-Shot NER with ChatGPT
Tingyu Xie
Qi Li
Jian Zhang
Yan Zhang
Zuozhu Liu
Hongwei Wang
LRM
ReLM
19
62
0
16 Oct 2023
PromptNER: Prompting For Named Entity Recognition
PromptNER: Prompting For Named Entity Recognition
D. Ashok
Zachary Chase Lipton
18
35
0
24 May 2023
Solving NLP Problems through Human-System Collaboration: A
  Discussion-based Approach
Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach
Masahiro Kaneko
Graham Neubig
Naoaki Okazaki
22
6
0
19 May 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
Tianyi Zhou
LRM
16
39
0
14 Mar 2023
Investigating the Effectiveness of Task-Agnostic Prefix Prompt for
  Instruction Following
Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following
Seonghyeon Ye
Hyeonbin Hwang
Sohee Yang
Hyeongu Yun
Yireun Kim
Minjoon Seo
LRM
19
34
0
28 Feb 2023
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of
  Chain-of-Thought
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
Abulhair Saparov
He He
ELM
LRM
ReLM
116
270
0
03 Oct 2022
Can Large Language Models Truly Understand Prompts? A Case Study with
  Negated Prompts
Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts
Joel Jang
Seonghyeon Ye
Minjoon Seo
ELM
LRM
87
64
0
26 Sep 2022
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango
Aman Madaan
Amir Yazdanbakhsh
LRM
136
115
0
16 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
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
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