ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2212.10001
  4. Cited By
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"

50 / 58 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
56
0
0
28 Mar 2025
Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More
Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More
Arvid Frydenlund
LRM
52
0
0
13 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
47
12
0
03 Mar 2025
A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition
A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition
Zihan Wang
Ziqi Zhao
Yougang Lyu
Ziyang Chen
Maarten de Rijke
Z. Z. Ren
66
3
0
25 Feb 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
137
7
0
21 Feb 2025
Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models
Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models
S. Poddar
Paramita Koley
Janardan Misra
Niloy Ganguly
Saptarshi Ghosh
Saptarshi Ghosh
64
0
0
08 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
92
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
80
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
155
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
26
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
119
88
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
69
28
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
79
13
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
64
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
62
12
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
82
19
0
02 Jul 2024
Leveraging LLMs for Dialogue Quality Measurement
Leveraging LLMs for Dialogue Quality Measurement
Jinghan Jia
A. Komma
Timothy Leffel
Xujun Peng
Ajay Nagesh
Tamer Soliman
Aram Galstyan
Anoop Kumar
39
5
0
25 Jun 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
64
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
54
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
36
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
48
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
39
1
0
19 May 2024
RDRec: Rationale Distillation for LLM-based Recommendation
RDRec: Rationale Distillation for LLM-based Recommendation
Xinfeng Wang
Jin Cui
Yoshimi Suzuki
Fumiyo Fukumoto
LRM
39
11
0
17 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
53
19
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
36
1
0
22 Feb 2024
Chain of Thought Empowers Transformers to Solve Inherently Serial
  Problems
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems
Zhiyuan Li
Hong Liu
Denny Zhou
Tengyu Ma
LRM
AI4CE
28
96
0
20 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
37
0
0
28 Jan 2024
Gradable ChatGPT Translation Evaluation
Gradable ChatGPT Translation Evaluation
Hui Jiao
Bei Peng
Lu Zong
Xiaojun Zhang
Xinwei Li
33
2
0
18 Jan 2024
Retrieval-augmented Multi-modal Chain-of-Thoughts Reasoning for Large
  Language Models
Retrieval-augmented Multi-modal Chain-of-Thoughts Reasoning for Large Language Models
Bingshuai Liu
Chenyang Lyu
Zijun Min
Zhanyu Wang
Jinsong Su
Longyue Wang
LRM
36
7
0
04 Dec 2023
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
24
72
0
20 Nov 2023
Igniting Language Intelligence: The Hitchhiker's Guide From
  Chain-of-Thought Reasoning to Language Agents
Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents
Zhuosheng Zhang
Yao Yao
Aston Zhang
Xiangru Tang
Xinbei Ma
...
Yiming Wang
Mark B. Gerstein
Rui Wang
Gongshen Liu
Hai Zhao
LLMAG
LM&Ro
LRM
42
53
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 R. Fung
Qing Lian
Xingyao Wang
Yangyi Chen
Heng Ji
Tong Zhang
UQLM
39
37
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
30
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
48
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
24
63
0
16 Oct 2023
Selective Demonstrations for Cross-domain Text-to-SQL
Selective Demonstrations for Cross-domain Text-to-SQL
Shuaichen Chang
Eric Fosler-Lussier
20
19
0
10 Oct 2023
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language
  Models
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models
Yangyi Chen
Karan Sikka
Michael Cogswell
Heng Ji
Ajay Divakaran
LRM
36
24
0
08 Sep 2023
PromptNER: Prompting For Named Entity Recognition
PromptNER: Prompting For Named Entity Recognition
D. Ashok
Zachary Chase Lipton
27
37
0
24 May 2023
Active Learning Principles for In-Context Learning with Large Language
  Models
Active Learning Principles for In-Context Learning with Large Language Models
Katerina Margatina
Timo Schick
Nikolaos Aletras
Jane Dwivedi-Yu
30
39
0
23 May 2023
Dr.ICL: Demonstration-Retrieved In-context Learning
Dr.ICL: Demonstration-Retrieved In-context Learning
Man Luo
Xin Xu
Zhuyun Dai
Panupong Pasupat
Mehran Kazemi
Chitta Baral
Vaiva Imbrasaite
Vincent Zhao
RALM
26
48
0
23 May 2023
Concept-aware Training Improves In-context Learning Ability of Language
  Models
Concept-aware Training Improves In-context Learning Ability of Language Models
Michal Štefánik
Marek Kadlcík
KELM
LRM
38
0
0
23 May 2023
Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via
  Debate
Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via Debate
Boshi Wang
Xiang Yue
Huan Sun
ELM
LRM
46
60
0
22 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
39
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
Dinesh Manocha
LRM
24
39
0
14 Mar 2023
ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for
  Document Information Extraction
ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction
Jiabang He
Lei Wang
Yingpeng Hu
Ning Liu
Hui-juan Liu
Xingdong Xu
Hengtao Shen
MLLM
6
47
0
09 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
ReLM
LRM
49
353
0
07 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
32
34
0
28 Feb 2023
Large Language Models Can Be Easily Distracted by Irrelevant Context
Large Language Models Can Be Easily Distracted by Irrelevant Context
Freda Shi
Xinyun Chen
Kanishka Misra
Nathan Scales
David Dohan
Ed H. Chi
Nathanael Scharli
Denny Zhou
ReLM
RALM
LRM
30
530
0
31 Jan 2023
Towards Reasoning in Large Language Models: A Survey
Towards Reasoning in Large Language Models: A Survey
Jie Huang
Kevin Chen-Chuan Chang
LM&MA
ELM
LRM
29
583
0
20 Dec 2022
12
Next