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Program of Thoughts Prompting: Disentangling Computation from Reasoning
  for Numerical Reasoning Tasks

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

22 November 2022
Wenhu Chen
Xueguang Ma
Xinyi Wang
William W. Cohen
    ReLM
    ReCod
    LRM
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Papers citing "Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks"

50 / 595 papers shown
Title
TinyChart: Efficient Chart Understanding with Visual Token Merging and
  Program-of-Thoughts Learning
TinyChart: Efficient Chart Understanding with Visual Token Merging and Program-of-Thoughts Learning
Liang Zhang
Anwen Hu
Haiyang Xu
Mingshi Yan
Yichen Xu
Qin Jin
Ji Zhang
Fei Huang
39
15
0
25 Apr 2024
Cantor: Inspiring Multimodal Chain-of-Thought of MLLM
Cantor: Inspiring Multimodal Chain-of-Thought of MLLM
Timin Gao
Peixian Chen
Mengdan Zhang
Chaoyou Fu
Yunhang Shen
...
Shengchuan Zhang
Xiawu Zheng
Xing Sun
Liujuan Cao
Rongrong Ji
MLLM
LRM
39
15
0
24 Apr 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
43
17
0
24 Apr 2024
Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Solvers for Math Word Problems
Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Solvers for Math Word Problems
Qihuang Zhong
Kang Wang
Ziyang Xu
Juhua Liu
Liang Ding
Bo Du
LRM
AIMat
55
3
0
23 Apr 2024
PARAMANU-GANITA: Can Small Math Language Models Rival with Large Language Models on Mathematical Reasoning?
PARAMANU-GANITA: Can Small Math Language Models Rival with Large Language Models on Mathematical Reasoning?
Mitodru Niyogi
Arnab Bhattacharya
LRM
ReLM
25
0
0
22 Apr 2024
Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?
Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?
Chengwei Qin
Wenhan Xia
Tan Wang
Fangkai Jiao
Yuchen Hu
Bosheng Ding
Ruirui Chen
Shafiq R. Joty
LRM
35
3
0
19 Apr 2024
Mathify: Evaluating Large Language Models on Mathematical Problem
  Solving Tasks
Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks
Avinash Anand
Mohit Gupta
Kritarth Prasad
Navya Singla
Sanjana Sanjeev
Jatin Kumar
A. Shivam
R. Shah
LRM
52
13
0
19 Apr 2024
From Language Models to Practical Self-Improving Computer Agents
From Language Models to Practical Self-Improving Computer Agents
Alex Sheng
LM&MA
LLMAG
19
0
0
18 Apr 2024
On the Empirical Complexity of Reasoning and Planning in LLMs
On the Empirical Complexity of Reasoning and Planning in LLMs
Liwei Kang
Zirui Zhao
David Hsu
Wee Sun Lee
LRM
22
5
0
17 Apr 2024
Compression Represents Intelligence Linearly
Compression Represents Intelligence Linearly
Yuzhen Huang
Jinghan Zhang
Zifei Shan
Junxian He
39
24
0
15 Apr 2024
Distilling Reasoning Ability from Large Language Models with Adaptive
  Thinking
Distilling Reasoning Ability from Large Language Models with Adaptive Thinking
Xiao Chen
Sihang Zhou
K. Liang
Xinwang Liu
ReLM
LRM
27
2
0
14 Apr 2024
Confidence Calibration and Rationalization for LLMs via Multi-Agent
  Deliberation
Confidence Calibration and Rationalization for LLMs via Multi-Agent Deliberation
Ruixin Yang
Dheeraj Rajagopal
S. Hayati
Bin Hu
Dongyeop Kang
LLMAG
30
3
0
14 Apr 2024
Distilling Algorithmic Reasoning from LLMs via Explaining Solution
  Programs
Distilling Algorithmic Reasoning from LLMs via Explaining Solution Programs
Jierui Li
Raymond J. Mooney
LRM
19
1
0
11 Apr 2024
Data Augmentation with In-Context Learning and Comparative Evaluation in
  Math Word Problem Solving
Data Augmentation with In-Context Learning and Comparative Evaluation in Math Word Problem Solving
Gulsum Yigit
M. Amasyalı
AIMat
37
1
0
05 Apr 2024
SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical
  Reasoning in Large Language Models
SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models
Hyeonwoo Kim
Gyoungjin Gim
Yungi Kim
Jihoo Kim
Byungju Kim
Wonseok Lee
Chanjun Park
ReLM
LRM
29
1
0
05 Apr 2024
Capabilities of Large Language Models in Control Engineering: A
  Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra
Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra
Darioush Kevian
U. Syed
Xing-ming Guo
Aaron J. Havens
Geir Dullerud
Peter M. Seiler
Lianhui Qin
Bin Hu
ELM
31
29
0
04 Apr 2024
Language Models as Compilers: Simulating Pseudocode Execution Improves
  Algorithmic Reasoning in Language Models
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
Hyungjoo Chae
Yeonghyeon Kim
Seungone Kim
Kai Tzu-iunn Ong
Beong-woo Kwak
...
Seonghwan Kim
Taeyoon Kwon
Jiwan Chung
Youngjae Yu
Jinyoung Yeo
LRM
ReLM
24
13
0
03 Apr 2024
$\texttt{LM}^\texttt{2}$: A Simple Society of Language Models Solves
  Complex Reasoning
LM2\texttt{LM}^\texttt{2}LM2: A Simple Society of Language Models Solves Complex Reasoning
Gurusha Juneja
Subhabrata Dutta
Tanmoy Chakraborty
ReLM
LRM
27
2
0
02 Apr 2024
Efficient Prompting Methods for Large Language Models: A Survey
Efficient Prompting Methods for Large Language Models: A Survey
Kaiyan Chang
Songcheng Xu
Chenglong Wang
Yingfeng Luo
Tong Xiao
Jingbo Zhu
LRM
30
32
0
01 Apr 2024
A Theory for Length Generalization in Learning to Reason
A Theory for Length Generalization in Learning to Reason
Changnan Xiao
Bing Liu
LRM
29
8
0
31 Mar 2024
Conceptual and Unbiased Reasoning in Language Models
Conceptual and Unbiased Reasoning in Language Models
Ben Zhou
Hongming Zhang
Sihao Chen
Dian Yu
Hongwei Wang
Baolin Peng
Dan Roth
Dong Yu
ReLM
LRM
ELM
18
12
0
30 Mar 2024
Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to
  Boost for Reasoning
Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning
Yongqi Tong
Dawei Li
Sizhe Wang
Yujia Wang
Fei Teng
Jingbo Shang
LRM
21
46
0
29 Mar 2024
Dual Instruction Tuning with Large Language Models for Mathematical
  Reasoning
Dual Instruction Tuning with Large Language Models for Mathematical Reasoning
Yongwei Zhou
Tiejun Zhao
LRM
30
6
0
27 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
19
6
0
26 Mar 2024
Large Language Models for Education: A Survey and Outlook
Large Language Models for Education: A Survey and Outlook
Shen Wang
Tianlong Xu
Hang Li
Chaoli Zhang
Joleen Liang
Jiliang Tang
Philip S. Yu
Qingsong Wen
AI4Ed
28
84
0
26 Mar 2024
ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion
  Classification
ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification
Sehee Lim
Yejin Kim
Chi-Hyun Choi
Jy-yong Sohn
Byung-Hoon Kim
25
3
0
21 Mar 2024
Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs
Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs
Victor Carbune
Hassan Mansoor
Fangyu Liu
Rahul Aralikatte
Gilles Baechler
Jindong Chen
Abhanshu Sharma
ReLM
LRM
128
11
0
19 Mar 2024
What Are Tools Anyway? A Survey from the Language Model Perspective
What Are Tools Anyway? A Survey from the Language Model Perspective
Zhiruo Wang
Zhoujun Cheng
Hao Zhu
Daniel Fried
Graham Neubig
60
26
0
18 Mar 2024
ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart
  Summarization
ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization
Mengsha Liu
Daoyuan Chen
Yaliang Li
Guian Fang
Ying Shen
22
18
0
17 Mar 2024
Mastering Text, Code and Math Simultaneously via Fusing Highly
  Specialized Language Models
Mastering Text, Code and Math Simultaneously via Fusing Highly Specialized Language Models
Ning Ding
Yulin Chen
Ganqu Cui
Xingtai Lv
Weilin Zhao
Ruobing Xie
Bowen Zhou
Zhiyuan Liu
Maosong Sun
ALM
MoMe
AI4CE
33
7
0
13 Mar 2024
Large Language Models are Contrastive Reasoners
Large Language Models are Contrastive Reasoners
Liang Yao
ReLM
ELM
LRM
32
2
0
13 Mar 2024
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error
Boshi Wang
Hao Fang
Jason Eisner
Benjamin Van Durme
Yu-Chuan Su
CLL
27
7
0
07 Mar 2024
Chain of Thought Explanation for Dialogue State Tracking
Chain of Thought Explanation for Dialogue State Tracking
Lin Xu
Ningxin Peng
Daquan Zhou
See-Kiong Ng
Jinlan Fu
LRM
14
1
0
07 Mar 2024
Teaching Large Language Models to Reason with Reinforcement Learning
Teaching Large Language Models to Reason with Reinforcement Learning
Alex Havrilla
Yuqing Du
Sharath Chandra Raparthy
Christoforos Nalmpantis
Jane Dwivedi-Yu
Maksym Zhuravinskyi
Eric Hambro
Sainbayar Sukhbaatar
Roberta Raileanu
ReLM
LRM
29
67
0
07 Mar 2024
MathScale: Scaling Instruction Tuning for Mathematical Reasoning
MathScale: Scaling Instruction Tuning for Mathematical Reasoning
Zhengyang Tang
Xingxing Zhang
Benyou Wang
Furu Wei
ALM
LRM
24
58
0
05 Mar 2024
Eliciting Better Multilingual Structured Reasoning from LLMs through
  Code
Eliciting Better Multilingual Structured Reasoning from LLMs through Code
Bryan Li
Tamer Alkhouli
Daniele Bonadiman
Nikolaos Pappas
Saab Mansour
LRM
20
7
0
05 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
35
0
04 Mar 2024
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve
  Mathematical Reasoning Learning of Language Models
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models
Changyu Chen
Xiting Wang
Ting-En Lin
Ang Lv
Yuchuan Wu
Xin Gao
Ji-Rong Wen
Rui Yan
Yongbin Li
ReLM
LRM
21
9
0
04 Mar 2024
ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context
ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context
Zirui Wu
Yansong Feng
LMTD
ReLM
LRM
48
7
0
04 Mar 2024
Improving the Validity of Automatically Generated Feedback via
  Reinforcement Learning
Improving the Validity of Automatically Generated Feedback via Reinforcement Learning
Alexander Scarlatos
Digory Smith
Simon Woodhead
Andrew S. Lan
OffRL
39
10
0
02 Mar 2024
Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code
  Large Language Models
Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code Large Language Models
Xianzhen Luo
Qingfu Zhu
Zhiming Zhang
Xu Wang
Qing Yang
Dongliang Xu
Wanxiang Che
ALM
19
2
0
01 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
29
45
0
29 Feb 2024
GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of
  LLMs as Mathematical Problem Solvers
GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Qintong Li
Leyang Cui
Xueliang Zhao
Lingpeng Kong
Wei Bi
LRM
35
46
0
29 Feb 2024
Data Interpreter: An LLM Agent For Data Science
Data Interpreter: An LLM Agent For Data Science
Sirui Hong
Yizhang Lin
Bang Liu
Bangbang Liu
Binhao Wu
...
Xinbing Liang
Yaying Fei
Yuheng Cheng
Zongze Xu
Chenglin Wu
LLMAG
AI4CE
47
58
0
28 Feb 2024
Beyond Natural Language: LLMs Leveraging Alternative Formats for
  Enhanced Reasoning and Communication
Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication
Weize Chen
Chenfei Yuan
Jiarui Yuan
Yusheng Su
Cheng Qian
Cheng Yang
Ruobing Xie
Zhiyuan Liu
Maosong Sun
23
9
0
28 Feb 2024
How to think step-by-step: A mechanistic understanding of
  chain-of-thought reasoning
How to think step-by-step: A mechanistic understanding of chain-of-thought reasoning
Subhabrata Dutta
Joykirat Singh
Soumen Chakrabarti
Tanmoy Chakraborty
LRM
19
23
0
28 Feb 2024
All in an Aggregated Image for In-Image Learning
All in an Aggregated Image for In-Image Learning
Lei Wang
Wanyu Xu
Zhiqiang Hu
Yihuai Lan
Shan Dong
Hao Wang
Roy Ka-Wei Lee
Ee-Peng Lim
VLM
43
1
0
28 Feb 2024
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
Xi Fang
Weijie Xu
Fiona Anting Tan
Jiani Zhang
Ziqing Hu
Yanjun Qi
Scott Nickleach
Diego Socolinsky
Srinivasan H. Sengamedu
Christos Faloutsos
LMTD
ALM
30
63
0
27 Feb 2024
Are LLMs Capable of Data-based Statistical and Causal Reasoning?
  Benchmarking Advanced Quantitative Reasoning with Data
Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data
Xiao Liu
Zirui Wu
Xueqing Wu
Pan Lu
Kai-Wei Chang
Yansong Feng
ELM
LRM
24
25
0
27 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
21
10
0
27 Feb 2024
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