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Progressive-Hint Prompting Improves Reasoning in Large Language Models

Progressive-Hint Prompting Improves Reasoning in Large Language Models

19 April 2023
Chuanyang Zheng
Zhengying Liu
Enze Xie
Zhenguo Li
Yu Li
    LLMAG
    ReLM
    LRM
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Papers citing "Progressive-Hint Prompting Improves Reasoning in Large Language Models"

50 / 87 papers shown
Title
Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving
Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving
J. Zhang
Flood Sung
Z. Yang
Yang Gao
Chongjie Zhang
LLMAG
42
0
0
28 Apr 2025
Can Large Language Models Unveil the Mysteries? An Exploration of Their Ability to Unlock Information in Complex Scenarios
Can Large Language Models Unveil the Mysteries? An Exploration of Their Ability to Unlock Information in Complex Scenarios
Chao Wang
Luning Zhang
Ziyi Wang
Yang Zhou
ELM
VLM
LRM
60
1
0
27 Feb 2025
ARS: Automatic Routing Solver with Large Language Models
ARS: Automatic Routing Solver with Large Language Models
Kai Li
Fei Liu
Zhenkun Wang
Xialiang Tong
Xiongwei Han
Mingxuan Yuan
Qingfu Zhang
42
0
0
21 Feb 2025
EvoFlow: Evolving Diverse Agentic Workflows On The Fly
EvoFlow: Evolving Diverse Agentic Workflows On The Fly
Guibin Zhang
Kaijie Chen
Guancheng Wan
Heng Chang
Hong Cheng
Kaidi Wang
Shuyue Hu
Lei Bai
92
2
0
11 Feb 2025
Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment
Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment
Shuoling Liu
Gaoguo Jia
Yuhang Jiang
Liyuan Chen
Qiang Yang
AIFin
LRM
95
0
0
17 Jan 2025
Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models
Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models
Sijia Chen
Baochun Li
Di Niu
LLMAG
LRM
AI4CE
71
11
0
08 Jan 2025
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Haipeng Luo
Qingfeng Sun
Can Xu
Pu Zhao
Jian-Guang Lou
...
Xiubo Geng
Qingwei Lin
Shifeng Chen
Yansong Tang
Dongmei Zhang
OSLM
LRM
110
408
0
03 Jan 2025
Toward Adaptive Reasoning in Large Language Models with Thought Rollback
Toward Adaptive Reasoning in Large Language Models with Thought Rollback
Sijia Chen
Baochun Li
KELM
LRM
73
6
0
27 Dec 2024
Dipper: Diversity in Prompts for Producing Large Language Model
  Ensembles in Reasoning tasks
Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning tasks
Gregory Kang Ruey Lau
Wenyang Hu
Diwen Liu
Jizhuo Chen
Szu Hui Ng
Bryan Kian Hsiang Low
LRM
AI4CE
78
7
0
12 Dec 2024
Learning Mathematical Rules with Large Language Models
Learning Mathematical Rules with Large Language Models
Antoine Gorceix
Bastien Le Chenadec
Ahmad Rammal
N. Vadori
Manuela Veloso
23
1
0
22 Oct 2024
SBI-RAG: Enhancing Math Word Problem Solving for Students through
  Schema-Based Instruction and Retrieval-Augmented Generation
SBI-RAG: Enhancing Math Word Problem Solving for Students through Schema-Based Instruction and Retrieval-Augmented Generation
Prakhar Dixit
Tim Oates
33
1
0
17 Oct 2024
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
Guibin Zhang
Xinfeng Li
Xiangguo Sun
Guancheng Wan
Miao Yu
Fan Zhang
Kun Wang
Dawei Cheng
Dawei Cheng
AAML
AI4CE
46
7
0
15 Oct 2024
DAPE V2: Process Attention Score as Feature Map for Length Extrapolation
DAPE V2: Process Attention Score as Feature Map for Length Extrapolation
Chuanyang Zheng
Yihang Gao
Han Shi
Jing Xiong
Jiankai Sun
...
Xiaozhe Ren
Michael Ng
Xin Jiang
Zhenguo Li
Yu Li
31
2
0
07 Oct 2024
Cut the Crap: An Economical Communication Pipeline for LLM-based
  Multi-Agent Systems
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
Guibin Zhang
Xinfeng Li
Zhixun Li
Sukwon Yun
Guancheng Wan
Kun Wang
Dawei Cheng
Jeffrey Xu Yu
Tianlong Chen
34
9
0
03 Oct 2024
Instance-adaptive Zero-shot Chain-of-Thought Prompting
Instance-adaptive Zero-shot Chain-of-Thought Prompting
Xiaosong Yuan
Chen Shen
Shaotian Yan
Xiaofeng Zhang
Liang Xie
Wenxiao Wang
Renchu Guan
Ying Wang
Jieping Ye
ReLM
LRM
51
4
0
30 Sep 2024
Attention Prompting on Image for Large Vision-Language Models
Attention Prompting on Image for Large Vision-Language Models
Runpeng Yu
Weihao Yu
Xinchao Wang
VLM
37
6
0
25 Sep 2024
Prompting Techniques for Secure Code Generation: A Systematic Investigation
Prompting Techniques for Secure Code Generation: A Systematic Investigation
Catherine Tony
Nicolás E. Díaz Ferreyra
Markus Mutas
Salem Dhiff
Riccardo Scandariato
SILM
76
9
0
09 Jul 2024
Demonstration Notebook: Finding the Most Suited In-Context Learning
  Example from Interactions
Demonstration Notebook: Finding the Most Suited In-Context Learning Example from Interactions
Yiming Tang
Bin Dong
36
0
0
16 Jun 2024
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning
  Strategies
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies
Junlin Wang
Siddhartha Jain
Dejiao Zhang
Baishakhi Ray
Varun Kumar
Ben Athiwaratkun
41
19
0
10 Jun 2024
Metacognitive Capabilities of LLMs: An Exploration in Mathematical
  Problem Solving
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
Aniket Didolkar
Anirudh Goyal
Nan Rosemary Ke
Siyuan Guo
Michal Valko
Timothy Lillicrap
Danilo Jimenez Rezende
Yoshua Bengio
Michael C. Mozer
Sanjeev Arora
LRM
36
22
0
20 May 2024
Challenges Faced by Large Language Models in Solving Multi-Agent
  Flocking
Challenges Faced by Large Language Models in Solving Multi-Agent Flocking
Peihan Li
Vishnu Menon
Bhavanaraj Gudiguntla
Daniel Ting
Lifeng Zhou
AI4CE
LLMAG
34
4
0
06 Apr 2024
Octopus: On-device language model for function calling of software APIs
Octopus: On-device language model for function calling of software APIs
Wei Chen
Zhiyuan Li
Mingyuan Ma
LLMAG
27
14
0
02 Apr 2024
Learning to Plan for Language Modeling from Unlabeled Data
Learning to Plan for Language Modeling from Unlabeled Data
Nathan Cornille
Marie-Francine Moens
Florian Mai
35
7
0
31 Mar 2024
Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with
  Autoformalization
Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with Autoformalization
Jin Peng Zhou
Charles Staats
Wenda Li
Christian Szegedy
Kilian Q. Weinberger
Yuhuai Wu
LRM
26
27
0
26 Mar 2024
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
Zhiqing Sun
Longhui Yu
Yikang Shen
Weiyang Liu
Yiming Yang
Sean Welleck
Chuang Gan
33
52
0
14 Mar 2024
Key-Point-Driven Data Synthesis with its Enhancement on Mathematical
  Reasoning
Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning
Yiming Huang
Xiao Liu
Yeyun Gong
Zhibin Gou
Yelong Shen
Nan Duan
Weizhu Chen
AIMat
LRM
56
36
0
04 Mar 2024
Functional Benchmarks for Robust Evaluation of Reasoning Performance,
  and the Reasoning Gap
Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the Reasoning Gap
Saurabh Srivastava
B. AnnaroseM
V. AntoP
Shashank Menon
Ajay Sukumar
T. AdwaithSamod
Alan Philipose
Stevin Prince
Sooraj Thomas
ELM
ReLM
LRM
36
45
0
29 Feb 2024
MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical
  Reasoning
MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning
Debrup Das
Debopriyo Banerjee
Somak Aditya
Ashish Kulkarni
ReLM
LRM
36
10
0
27 Feb 2024
Look Before You Leap: Problem Elaboration Prompting Improves
  Mathematical Reasoning in Large Language Models
Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models
Haoran Liao
Jidong Tian
Shaohua Hu
Hao He
Yaohui Jin
ReLM
LRM
46
1
0
24 Feb 2024
An Empirical Categorization of Prompting Techniques for Large Language
  Models: A Practitioner's Guide
An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide
Oluwole Fagbohun
Rachel M. Harrison
Anton Dereventsov
49
6
0
18 Feb 2024
Can We Verify Step by Step for Incorrect Answer Detection?
Can We Verify Step by Step for Incorrect Answer Detection?
Xin Xu
Shizhe Diao
Can Yang
Yang Wang
LRM
122
13
0
16 Feb 2024
MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data
MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data
Yinya Huang
Xiaohan Lin
Zhengying Liu
Qingxing Cao
Huajian Xin
Haiming Wang
Zhenguo Li
Linqi Song
Xiaodan Liang
ALM
38
35
0
14 Feb 2024
Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large
  Language Models
Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models
Spyridon Mouselinos
Henryk Michalewski
Mateusz Malinowski
LRM
39
5
0
06 Feb 2024
Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step
  Reasoning
Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning
Yiwei Li
Peiwen Yuan
Shaoxiong Feng
Boyuan Pan
Xinglin Wang
Bin Sun
Heda Wang
Kan Li
LRM
35
29
0
19 Jan 2024
Survey of Natural Language Processing for Education: Taxonomy,
  Systematic Review, and Future Trends
Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends
Yunshi Lan
Xinyuan Li
Hanyue Du
Xuesong Lu
Ming Gao
Weining Qian
Aoying Zhou
40
2
0
15 Jan 2024
DCR: Divide-and-Conquer Reasoning for Multi-choice Question Answering
  with LLMs
DCR: Divide-and-Conquer Reasoning for Multi-choice Question Answering with LLMs
Zijie Meng
Yan Zhang
Zhaopeng Feng
Zuozhu Liu
LRM
27
4
0
10 Jan 2024
TinyGSM: achieving >80% on GSM8k with small language models
TinyGSM: achieving >80% on GSM8k with small language models
Bingbin Liu
Sébastien Bubeck
Ronen Eldan
Janardhan Kulkarni
Yuanzhi Li
Anh Nguyen
Rachel A. Ward
Yi Zhang
ALM
24
47
0
14 Dec 2023
Modeling Complex Mathematical Reasoning via Large Language Model based MathAgent
Haoran Liao
Qinyi Du
Shaohua Hu
Hao He
Yanyan Xu
Jidong Tian
Yaohui Jin
LRM
AI4CE
32
1
0
14 Dec 2023
Frugal LMs Trained to Invoke Symbolic Solvers Achieve
  Parameter-Efficient Arithmetic Reasoning
Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning
Subhabrata Dutta
Joykirat Singh
Ishan Pandey
Sunny Manchanda
Soumen Chakrabarti
Tanmoy Chakraborty
ReLM
LRM
26
4
0
09 Dec 2023
Universal Self-Consistency for Large Language Model Generation
Universal Self-Consistency for Large Language Model Generation
Xinyun Chen
Renat Aksitov
Uri Alon
Jie Jessie Ren
Kefan Xiao
Pengcheng Yin
Sushant Prakash
Charles Sutton
Xuezhi Wang
Denny Zhou
LRM
26
66
0
29 Nov 2023
Prompt Engineering Through the Lens of Optimal Control
Prompt Engineering Through the Lens of Optimal Control
Yifan Luo
Yiming Tang
Chengfeng Shen
Zhennan Zhou
Bin Dong
OffRL
35
6
0
22 Oct 2023
SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving
SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving
Xueliang Zhao
Xinting Huang
Wei Bi
Lingpeng Kong
LRM
48
0
0
19 Oct 2023
Self-Convinced Prompting: Few-Shot Question Answering with Repeated
  Introspection
Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection
Haodi Zhang
Min Cai
Xinhe Zhang
Chen Zhang
Rui Mao
Kaishun Wu
KELM
LRM
ReLM
30
8
0
08 Oct 2023
Towards Better Chain-of-Thought Prompting Strategies: A Survey
Towards Better Chain-of-Thought Prompting Strategies: A Survey
Zihan Yu
Liang He
Zhen Wu
Xinyu Dai
Jiajun Chen
LRM
126
45
0
08 Oct 2023
Fine-tune Language Models to Approximate Unbiased In-context Learning
Fine-tune Language Models to Approximate Unbiased In-context Learning
Timothy Chu
Zhao-quan Song
Chiwun Yang
27
15
0
05 Oct 2023
Large Language Model Cascades with Mixture of Thoughts Representations
  for Cost-efficient Reasoning
Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning
Murong Yue
Jie Zhao
Min Zhang
Liang Du
Ziyu Yao
LRM
29
55
0
04 Oct 2023
Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with
  Agent Team Optimization
Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization
Zijun Liu
Yanzhe Zhang
Peng Li
Yang Liu
Diyi Yang
LLMAG
36
102
0
03 Oct 2023
Fill in the Blank: Exploring and Enhancing LLM Capabilities for Backward
  Reasoning in Math Word Problems
Fill in the Blank: Exploring and Enhancing LLM Capabilities for Backward Reasoning in Math Word Problems
Aniruddha Deb
Neeva Oza
Sarthak Singla
Dinesh Khandelwal
Dinesh Garg
Parag Singla
21
8
0
03 Oct 2023
LEGO-Prover: Neural Theorem Proving with Growing Libraries
LEGO-Prover: Neural Theorem Proving with Growing Libraries
Haiming Wang
Huajian Xin
Chuanyang Zheng
Lin Li
Zhengying Liu
...
Enze Xie
Jian Yin
Zhenguo Li
Heng Liao
Xiaodan Liang
LRM
39
63
0
01 Oct 2023
Adaptive-Solver Framework for Dynamic Strategy Selection in Large
  Language Model Reasoning
Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model Reasoning
Jianpeng Zhou
Wanjun Zhong
Yanlin Wang
Jiahai Wang
LRM
31
7
0
01 Oct 2023
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