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Automatic Chain of Thought Prompting in Large Language Models

Automatic Chain of Thought Prompting in Large Language Models

International Conference on Learning Representations (ICLR), 2022
7 October 2022
Zhuosheng Zhang
Aston Zhang
Mu Li
Alexander J. Smola
    ReLMLRM
ArXiv (abs)PDFHTMLHuggingFace (2 upvotes)Github (1836★)

Papers citing "Automatic Chain of Thought Prompting in Large Language Models"

50 / 494 papers shown
Title
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
Hashmath Shaik
Alex Doboli
OffRLELM
945
2
0
31 Dec 2024
In-Context Learning with Iterative Demonstration Selection
In-Context Learning with Iterative Demonstration SelectionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Chengwei Qin
Aston Zhang
Chong Chen
Anirudh Dagar
Wenming Ye
LRM
390
73
0
31 Dec 2024
Toward Adaptive Reasoning in Large Language Models with Thought Rollback
Toward Adaptive Reasoning in Large Language Models with Thought RollbackInternational Conference on Machine Learning (ICML), 2024
Sijia Chen
Baochun Li
KELMLRM
256
11
0
27 Dec 2024
The Power of Adaptation: Boosting In-Context Learning through Adaptive
  Prompting
The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting
Shuzhang Cai
Twumasi Mensah-Boateng
Xander Kuksov
Jing Yuan
Shaojie Tang
134
0
0
23 Dec 2024
System-2 Mathematical Reasoning via Enriched Instruction Tuning
System-2 Mathematical Reasoning via Enriched Instruction Tuning
Huanqia Cai
Yijun Yang
Zhifeng Li
LRM
239
4
0
22 Dec 2024
Cognition Chain for Explainable Psychological Stress Detection on Social
  Media
Cognition Chain for Explainable Psychological Stress Detection on Social Media
Xin Wang
Boyan Gao
Yi Dai
Lei Cao
Liang Zhao
Yue Yang
David A. Clifton
224
2
0
18 Dec 2024
Refining Answer Distributions for Improved Large Language Model Reasoning
Refining Answer Distributions for Improved Large Language Model Reasoning
Soumyasundar Pal
Didier Chetelat
Yingxue Zhang
Mark Coates
ReLMLRM
243
0
0
17 Dec 2024
Towards Action Hijacking of Large Language Model-based Agent
Towards Action Hijacking of Large Language Model-based Agent
Yuyang Zhang
Kangjie Chen
Xudong Jiang
Yuxiang Sun
Run Wang
Lina Wang
Minlie Huang
LLMAGAAML
462
3
0
14 Dec 2024
Multi-Task Learning with LLMs for Implicit Sentiment Analysis:
  Data-level and Task-level Automatic Weight Learning
Multi-Task Learning with LLMs for Implicit Sentiment Analysis: Data-level and Task-level Automatic Weight Learning
Wenna Lai
H. Xie
Guandong Xu
Qing Li
136
4
0
12 Dec 2024
AutoReason: Automatic Few-Shot Reasoning Decomposition
AutoReason: Automatic Few-Shot Reasoning Decomposition
Arda Sevinc
A. Gumus
ReLMLRM
182
2
0
09 Dec 2024
Neuro-Symbolic Data Generation for Math Reasoning
Neuro-Symbolic Data Generation for Math ReasoningNeural Information Processing Systems (NeurIPS), 2024
Zenan Li
Zhi Zhou
Xingtai Lv
Yu-Feng Li
Chun Cao
Fan Yang
Xian Zhang
Xiaoxing Ma
OffRLLRM
242
23
0
06 Dec 2024
Smoothie: Label Free Language Model Routing
Smoothie: Label Free Language Model RoutingNeural Information Processing Systems (NeurIPS), 2024
Neel Guha
Mayee F. Chen
Trevor Chow
Ishan S. Khare
Christopher Ré
231
19
0
06 Dec 2024
Generative Language Models Potential for Requirement Engineering
  Applications: Insights into Current Strengths and Limitations
Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations
Summra Saleem
Muhammad Nabeel Asim
L. V. Elst
Andreas Dengel
219
0
0
01 Dec 2024
GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding
GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance GroundingComputer Vision and Pattern Recognition (CVPR), 2024
Yawen Shao
Wei-dong Zhai
Yuhang Yang
Hongchen Luo
Yang Cao
Zheng-jun Zha
464
10
0
29 Nov 2024
Autonomous Imagination: Closed-Loop Decomposition of Visual-to-Textual Conversion in Visual Reasoning for Multimodal Large Language Models
Autonomous Imagination: Closed-Loop Decomposition of Visual-to-Textual Conversion in Visual Reasoning for Multimodal Large Language Models
Qingbin Liu
Yumeng Li
Boyuan Xiao
Yichang Jian
Ziang Qin
Tianjia Shao
Yao-Xiang Ding
Kun Zhou
LRMMLLM
439
4
0
27 Nov 2024
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal ReasoningComputer Vision and Pattern Recognition (CVPR), 2024
Di Zhang
Jingdi Lei
Junxian Li
Xunzhi Wang
Yong Liu
...
Steve Yang
Jianbo Wu
Peng Ye
Wanli Ouyang
Dongzhan Zhou
OffRLLRM
515
26
0
27 Nov 2024
Seeing the Undefined: Chain-of-Action for Generative Semantic Labels
Seeing the Undefined: Chain-of-Action for Generative Semantic Labels
Meng Wei
Zhongnian Li
Peng Ying
Xinzheng Xu
VLM
285
0
0
26 Nov 2024
HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator
HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility EvaluatorComputer Vision and Pattern Recognition (CVPR), 2024
Fan Yang
Ru Zhen
Jinqiao Wang
Yanhao Zhang
Haoxiang Chen
Haonan Lu
Sicheng Zhao
Guiguang Ding
400
7
0
26 Nov 2024
MICAS: Multi-grained In-Context Adaptive Sampling for 3D Point Cloud
  Processing
MICAS: Multi-grained In-Context Adaptive Sampling for 3D Point Cloud ProcessingComputer Vision and Pattern Recognition (CVPR), 2024
Feifei Shao
Ping Liu
Zhao Wang
Yawei Luo
Hongwei Wang
Jun Xiao
3DPC
284
1
0
25 Nov 2024
ZoomEye: Enhancing Multimodal LLMs with Human-Like Zooming Capabilities through Tree-Based Image Exploration
ZoomEye: Enhancing Multimodal LLMs with Human-Like Zooming Capabilities through Tree-Based Image Exploration
Haozhan Shen
Kangjia Zhao
Tiancheng Zhao
Ruochen Xu
Zilun Zhang
Mingwei Zhu
Yuxiang Cai
460
42
0
25 Nov 2024
Thinking Before Looking: Improving Multimodal LLM Reasoning via
  Mitigating Visual Hallucination
Thinking Before Looking: Improving Multimodal LLM Reasoning via Mitigating Visual Hallucination
Haojie Zheng
Tianyang Xu
Hanchi Sun
Shu Pu
Ruoxi Chen
Lichao Sun
MLLMLRM
213
26
0
15 Nov 2024
Evaluating the Predictive Capacity of ChatGPT for Academic Peer Review
  Outcomes Across Multiple Platforms
Evaluating the Predictive Capacity of ChatGPT for Academic Peer Review Outcomes Across Multiple Platforms
Mike Thelwall
Abdullah Yaghi
59
14
0
14 Nov 2024
Tree-of-Table: Unleashing the Power of LLMs for Enhanced Large-Scale
  Table Understanding
Tree-of-Table: Unleashing the Power of LLMs for Enhanced Large-Scale Table Understanding
Deyi Ji
Lanyun Zhu
Siqi Gao
Peng Xu
Hongtao Lu
Jieping Ye
Feng Zhao
PINNLMTD
210
16
0
13 Nov 2024
Semantic Enhancement for Object SLAM with Heterogeneous Multimodal Large Language Model Agents
Semantic Enhancement for Object SLAM with Heterogeneous Multimodal Large Language Model Agents
Jungseok Hong
Ran Choi
John Leonard
VLM
378
1
0
11 Nov 2024
TI-PREGO: Chain of Thought and In-Context Learning for Online Mistake Detection in PRocedural EGOcentric Videos
TI-PREGO: Chain of Thought and In-Context Learning for Online Mistake Detection in PRocedural EGOcentric Videos
Leonardo Plini
Luca Scofano
Edoardo De Matteis
Guido Maria DÁmely di Melendugno
Alessandro Flaborea
Andrea Sanchietti
G. Farinella
Fabio Galasso
Antonino Furnari
LRMEgoV
294
7
0
04 Nov 2024
RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner
RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner
Fu-Chieh Chang
Yu-Ting Lee
Hui-Ying Shih
Pei-Yuan Wu
Pei-Yuan Wu
OffRLLRM
924
1
0
31 Oct 2024
Exploring the Reliability of Foundation Model-Based Frontier Selection
  in Zero-Shot Object Goal Navigation
Exploring the Reliability of Foundation Model-Based Frontier Selection in Zero-Shot Object Goal NavigationInternational Conference on Pattern Recognition (ICPR), 2024
Shuaihang Yuan
Halil Utku Unlu
Niraj Pudasaini
Congcong Wen
Anthony Tzes
Yi Fang
171
3
0
28 Oct 2024
Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse
Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse
Ryan Liu
Jiayi Geng
Addison J. Wu
Ilia Sucholutsky
Tania Lombrozo
Thomas Griffiths
ReLMLRM
389
83
0
27 Oct 2024
AttriPrompter: Auto-Prompting with Attribute Semantics for Zero-shot
  Nuclei Detection via Visual-Language Pre-trained Models
AttriPrompter: Auto-Prompting with Attribute Semantics for Zero-shot Nuclei Detection via Visual-Language Pre-trained ModelsIEEE Transactions on Medical Imaging (IEEE TMI), 2024
Yongjian Wu
Yang Zhou
Jiya Saiyin
Bingzheng Wei
M. Lai
Jianzhong Shou
Yan Xu
VLMMedIm
202
3
0
22 Oct 2024
A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and
  Error-Aware Demonstration
A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware DemonstrationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Yingqian Cui
Pengfei He
Xianfeng Tang
Qi He
Chen Luo
Shucheng Zhou
Yue Xing
LRM
153
12
0
21 Oct 2024
Retrieval-Enhanced Named Entity Recognition
Retrieval-Enhanced Named Entity Recognition
Enzo Shiraishi
Raphael Y. de Camargo
Henrique L. P. Silva
Ronaldo C. Prati
RALM
239
0
0
17 Oct 2024
BridG MT: Enhancing LLMs' Machine Translation Capabilities with Sentence Bridging and Gradual MT
BridG MT: Enhancing LLMs' Machine Translation Capabilities with Sentence Bridging and Gradual MTAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Seung-Woo Choi
Ga-Hyun Yoo
Jay-Yoon Lee
249
0
0
15 Oct 2024
Innovative Thinking, Infinite Humor: Humor Research of Large Language Models through Structured Thought Leaps
Innovative Thinking, Infinite Humor: Humor Research of Large Language Models through Structured Thought LeapsInternational Conference on Learning Representations (ICLR), 2024
Han Wang
Yilin Zhao
Dian Li
Xiaohan Wang
Gang Liu
Xuguang Lan
Jian Shu
LRM
391
3
0
14 Oct 2024
Self-Data Distillation for Recovering Quality in Pruned Large Language Models
Self-Data Distillation for Recovering Quality in Pruned Large Language Models
Vithursan Thangarasa
Ganesh Venkatesh
Mike Lasby
Nish Sinnadurai
Sean Lie
SyDa
470
4
0
13 Oct 2024
Chain-of-Restoration: Multi-Task Image Restoration Models are Zero-Shot
  Step-by-Step Universal Image Restorers
Chain-of-Restoration: Multi-Task Image Restoration Models are Zero-Shot Step-by-Step Universal Image Restorers
Jin Cao
Deyu Meng
Xiangyong Cao
CLL
197
2
0
11 Oct 2024
SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-CorrectionInternational Conference on Learning Representations (ICLR), 2024
L. Yang
Zhaochen Yu
Tianze Zhang
Minkai Xu
Alfons Kemper
Tengjiao Wang
Shuicheng Yan
ELMReLMLRM
246
0
0
11 Oct 2024
Think Beyond Size: Dynamic Prompting for More Effective Reasoning
Think Beyond Size: Dynamic Prompting for More Effective Reasoning
Kamesh R
ReLMLRMAI4CE
37
0
0
10 Oct 2024
Mars: Situated Inductive Reasoning in an Open-World Environment
Mars: Situated Inductive Reasoning in an Open-World EnvironmentNeural Information Processing Systems (NeurIPS), 2024
Xiaojuan Tang
Jiaqi Li
Yitao Liang
Song-chun Zhu
Muhan Zhang
Zilong Zheng
LM&RoLRMLLMAG
264
8
0
10 Oct 2024
Exploring Prompt Engineering: A Systematic Review with SWOT Analysis
Exploring Prompt Engineering: A Systematic Review with SWOT Analysis
Aditi Singh
Abul Ehtesham
Gaurav Kumar Gupta
Nikhil Kumar Chatta
Saket Kumar
T. T. Khoei
198
6
0
09 Oct 2024
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
Shanshan Han
563
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0
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From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency
From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample EfficiencyInternational Conference on Learning Representations (ICLR), 2024
Kaiyue Wen
Huaqing Zhang
Hongzhou Lin
Jingzhao Zhang
MoELRM
470
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0
07 Oct 2024
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
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Yaqing Wang
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422
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0
03 Oct 2024
Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis
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Hongkang Li
Songtao Lu
Pin-Yu Chen
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359
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In-Context Transfer Learning: Demonstration Synthesis by Transferring
  Similar Tasks
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Dingzirui Wang
Xuanliang Zhang
Qiguang Chen
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285
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Verbalized Graph Representation Learning: A Fully Interpretable Graph
  Model Based on Large Language Models Throughout the Entire Process
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Xingyu Ji
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Exploring Gen-AI applications in building research and industry: A review
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Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection
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Matteo Zecchin
Sangwoo Park
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628
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Enhancing Text-to-SQL Capabilities of Large Language Models via Domain Database Knowledge Injection
Enhancing Text-to-SQL Capabilities of Large Language Models via Domain Database Knowledge InjectionEuropean Conference on Artificial Intelligence (ECAI), 2024
Xingyu Ma
Xin Tian
Lingxiang Wu
Xuepeng Wang
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379
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0
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Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey
  on How to Make your LLMs use External Data More Wisely
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Siyun Zhao
Yuqing Yang
Zilong Wang
Zhiyuan He
Luna Qiu
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273
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0
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Parse Trees Guided LLM Prompt Compression
Parse Trees Guided LLM Prompt CompressionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Wenhao Mao
Chengbin Hou
Tianyu Zhang
Xinyu Lin
Ke Tang
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214
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