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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
ArXivPDFHTML

Papers citing "Progressive-Hint Prompting Improves Reasoning in Large Language Models"

37 / 87 papers shown
Title
Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model
  Collaboration
Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration
Qiushi Sun
Zhangyue Yin
Xiang Li
Zhiyong Wu
Xipeng Qiu
Lingpeng Kong
LRM
LLMAG
28
44
0
30 Sep 2023
SCREWS: A Modular Framework for Reasoning with Revisions
SCREWS: A Modular Framework for Reasoning with Revisions
K. Shridhar
Harsh Jhamtani
Hao Fang
Benjamin Van Durme
Jason Eisner
Patrick Xia
KELM
LRM
30
14
0
20 Sep 2023
MAmmoTH: Building Math Generalist Models through Hybrid Instruction
  Tuning
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
Xiang Yue
Xingwei Qu
Ge Zhang
Yao Fu
Wenhao Huang
Huan Sun
Yu-Chuan Su
Wenhu Chen
AIMat
LRM
62
361
0
11 Sep 2023
No Train Still Gain. Unleash Mathematical Reasoning of Large Language
  Models with Monte Carlo Tree Search Guided by Energy Function
No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy Function
Haotian Xu
LRM
35
12
0
01 Sep 2023
Exploring Equation as a Better Intermediate Meaning Representation for
  Numerical Reasoning
Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning
Dingzirui Wang
Longxu Dou
Wenbin Zhang
Junyu Zeng
Wanxiang Che
AIMat
35
6
0
21 Aug 2023
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with
  Code-based Self-Verification
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
Aojun Zhou
Ke Wang
Zimu Lu
Weikang Shi
Sichun Luo
...
Shaoqing Lu
Anya Jia
Linqi Song
Mingjie Zhan
Hongsheng Li
ReLM
LRM
27
145
0
15 Aug 2023
Forward-Backward Reasoning in Large Language Models for Mathematical
  Verification
Forward-Backward Reasoning in Large Language Models for Mathematical Verification
Weisen Jiang
Han Shi
L. Yu
Zheng Liu
Yu Zhang
Zhenguo Li
James T. Kwok
LRM
42
25
0
15 Aug 2023
Metacognitive Prompting Improves Understanding in Large Language Models
Metacognitive Prompting Improves Understanding in Large Language Models
Yuqing Wang
Yun Zhao
ReLM
LRM
41
25
0
10 Aug 2023
Cumulative Reasoning with Large Language Models
Cumulative Reasoning with Large Language Models
Yifan Zhang
Jingqin Yang
Yang Yuan
Andrew Chi-Chih Yao
ReLM
ELM
LRM
AI4CE
36
69
0
08 Aug 2023
Skills-in-Context Prompting: Unlocking Compositionality in Large
  Language Models
Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models
Jiaao Chen
Xiaoman Pan
Dian Yu
Kaiqiang Song
Xiaoyang Wang
Dong Yu
Jianshu Chen
ReLM
LRM
21
24
0
01 Aug 2023
Leveraging GPT-4 for Food Effect Summarization to Enhance
  Product-Specific Guidance Development via Iterative Prompting
Leveraging GPT-4 for Food Effect Summarization to Enhance Product-Specific Guidance Development via Iterative Prompting
Yiwen Shi
Ping Ren
Jing Wang
Biao Han
Taha ValizadehAslani
Felix Agbavor
Yi Zhang
Meng Hu
Liang Zhao
Hualou Liang
25
17
0
28 Jun 2023
Evaluating and Improving Tool-Augmented Computation-Intensive Math
  Reasoning
Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning
Beichen Zhang
Kun Zhou
Xilin Wei
Wayne Xin Zhao
Jing Sha
Shijin Wang
Ji-Rong Wen
LRM
30
35
0
04 Jun 2023
MathChat: Converse to Tackle Challenging Math Problems with LLM Agents
MathChat: Converse to Tackle Challenging Math Problems with LLM Agents
Yiran Wu
Feiran Jia
Shaokun Zhang
Han-Tai Li
Erkang Zhu
Yue Wang
Y. Lee
Richard Peng
Qingyun Wu
Chi Wang
LLMAG
24
49
0
02 Jun 2023
Exposing Attention Glitches with Flip-Flop Language Modeling
Exposing Attention Glitches with Flip-Flop Language Modeling
Bingbin Liu
Jordan T. Ash
Surbhi Goel
A. Krishnamurthy
Cyril Zhang
LRM
27
46
0
01 Jun 2023
Deliberate then Generate: Enhanced Prompting Framework for Text
  Generation
Deliberate then Generate: Enhanced Prompting Framework for Text Generation
Bei Li
Rui Wang
Junliang Guo
Kaitao Song
Xuejiao Tan
Hany Hassan
Arul Menezes
Tong Xiao
Jiang Bian
JingBo Zhu
16
14
0
31 May 2023
Encouraging Divergent Thinking in Large Language Models through
  Multi-Agent Debate
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
Tian Liang
Zhiwei He
Wenxiang Jiao
Xing Wang
Rui Wang
Yujiu Yang
Zhaopeng Tu
Shuming Shi
LLMAG
LRM
37
401
0
30 May 2023
Self-Polish: Enhance Reasoning in Large Language Models via Problem
  Refinement
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement
Zhiheng Xi
Senjie Jin
Yuhao Zhou
Rui Zheng
Songyang Gao
Tao Gui
Qi Zhang
Xuanjing Huang
ReLM
LRM
36
44
0
23 May 2023
Automatic Model Selection with Large Language Models for Reasoning
Automatic Model Selection with Large Language Models for Reasoning
Xu Zhao
Yuxi Xie
Kenji Kawaguchi
Junxian He
Qizhe Xie
ReLM
LRM
34
27
0
23 May 2023
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large
  Language Models
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models
Z. Chen
Kun Zhou
Beichen Zhang
Zheng Gong
Wayne Xin Zhao
Ji-Rong Wen
KELM
LRM
19
27
0
23 May 2023
TheoremQA: A Theorem-driven Question Answering dataset
TheoremQA: A Theorem-driven Question Answering dataset
Wenhu Chen
Ming Yin
Max W.F. Ku
Pan Lu
Yixin Wan
Xueguang Ma
Jianyu Xu
Xinyi Wang
Tony Xia
AIMat
38
119
0
21 May 2023
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs
  Sampling
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
Weijia Xu
Andrzej Banburski-Fahey
Nebojsa Jojic
ReLM
LRM
21
32
0
17 May 2023
MoT: Memory-of-Thought Enables ChatGPT to Self-Improve
MoT: Memory-of-Thought Enables ChatGPT to Self-Improve
Xiaonan Li
Xipeng Qiu
ReLM
KELM
LRM
AI4MH
26
32
0
09 May 2023
Benchmarking ChatGPT-4 on ACR Radiation Oncology In-Training (TXIT) Exam
  and Red Journal Gray Zone Cases: Potentials and Challenges for AI-Assisted
  Medical Education and Decision Making in Radiation Oncology
Benchmarking ChatGPT-4 on ACR Radiation Oncology In-Training (TXIT) Exam and Red Journal Gray Zone Cases: Potentials and Challenges for AI-Assisted Medical Education and Decision Making in Radiation Oncology
Yixing Huang
A. Gomaa
S. Semrau
M. Haderlein
S. Lettmaier
...
L. Distel
Andreas Maier
R. Fietkau
Christoph Bert
F. Putz
ELM
LM&MA
AI4MH
34
9
0
24 Apr 2023
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal
  Proofs
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs
Albert Q. Jiang
Sean Welleck
Jin Peng Zhou
Wenda Li
Jiacheng Liu
M. Jamnik
Timothée Lacroix
Yuhuai Wu
Guillaume Lample
AIMat
70
158
0
21 Oct 2022
Language Models are Multilingual Chain-of-Thought Reasoners
Language Models are Multilingual Chain-of-Thought Reasoners
Freda Shi
Mirac Suzgun
Markus Freitag
Xuezhi Wang
Suraj Srivats
...
Yi Tay
Sebastian Ruder
Denny Zhou
Dipanjan Das
Jason W. Wei
ReLM
LRM
172
327
0
06 Oct 2022
Complexity-Based Prompting for Multi-Step Reasoning
Complexity-Based Prompting for Multi-Step Reasoning
Yao Fu
Hao-Chun Peng
Ashish Sabharwal
Peter Clark
Tushar Khot
ReLM
LRM
162
414
0
03 Oct 2022
Autoformalization with Large Language Models
Autoformalization with Large Language Models
Yuhuai Wu
Albert Q. Jiang
Wenda Li
M. Rabe
Charles Staats
M. Jamnik
Christian Szegedy
AI4CE
110
157
0
25 May 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
328
4,106
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
314
3,248
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
313
11,953
0
04 Mar 2022
Formal Mathematics Statement Curriculum Learning
Formal Mathematics Statement Curriculum Learning
Stanislas Polu
Jesse Michael Han
Kunhao Zheng
Mantas Baksys
Igor Babuschkin
Ilya Sutskever
AIMat
86
116
0
03 Feb 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
373
8,495
0
28 Jan 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
279
1,124
0
18 Apr 2021
Measuring and Improving Consistency in Pretrained Language Models
Measuring and Improving Consistency in Pretrained Language Models
Yanai Elazar
Nora Kassner
Shauli Ravfogel
Abhilasha Ravichander
Eduard H. Hovy
Hinrich Schütze
Yoav Goldberg
HILM
263
346
0
01 Feb 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,312
0
17 Jan 2021
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
243
1,452
0
18 Mar 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
249
4,489
0
23 Jan 2020
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