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Program Induction by Rationale Generation : Learning to Solve and
  Explain Algebraic Word Problems

Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

11 May 2017
Wang Ling
Dani Yogatama
Chris Dyer
Phil Blunsom
    AIMat
ArXivPDFHTML

Papers citing "Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems"

50 / 172 papers shown
Title
LLMs Are Not Intelligent Thinkers: Introducing Mathematical Topic Tree Benchmark for Comprehensive Evaluation of LLMs
LLMs Are Not Intelligent Thinkers: Introducing Mathematical Topic Tree Benchmark for Comprehensive Evaluation of LLMs
Arash Gholami Davoodi
Seyed Pouyan Mousavi Davoudi
Pouya Pezeshkpour
ELM
LRM
42
4
0
07 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
GKT: A Novel Guidance-Based Knowledge Transfer Framework For Efficient
  Cloud-edge Collaboration LLM Deployment
GKT: A Novel Guidance-Based Knowledge Transfer Framework For Efficient Cloud-edge Collaboration LLM Deployment
Yao Yao
Z. Li
Hai Zhao
34
5
0
30 May 2024
Cognitive Insights and Stable Coalition Matching for Fostering Multi-Agent Cooperation
Cognitive Insights and Stable Coalition Matching for Fostering Multi-Agent Cooperation
Jiaqi Shao
Tianjun Yuan
Tao Lin
Xuanyu Cao
50
0
0
28 May 2024
Sparse Matrix in Large Language Model Fine-tuning
Sparse Matrix in Large Language Model Fine-tuning
Haoze He
Juncheng Billy Li
Xuan Jiang
Heather Miller
MoE
27
3
0
24 May 2024
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer
  Selection in Large Language Models
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models
Zhangyue Yin
Qiushi Sun
Qipeng Guo
Zhiyuan Zeng
Xiaonan Li
...
Qinyuan Cheng
Ding Wang
Xiaofeng Mou
Xipeng Qiu
XuanJing Huang
LRM
46
4
0
21 May 2024
Optimizing Language Model's Reasoning Abilities with Weak Supervision
Optimizing Language Model's Reasoning Abilities with Weak Supervision
Yongqi Tong
Sizhe Wang
Dawei Li
Yifan Wang
Simeng Han
Zi Lin
Chengsong Huang
Jiaxin Huang
Jingbo Shang
LRM
ReLM
42
8
0
07 May 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
63
3
0
23 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
37
4
0
14 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
36
1
0
05 Apr 2024
Constructing Multilingual Visual-Text Datasets Revealing Visual
  Multilingual Ability of Vision Language Models
Constructing Multilingual Visual-Text Datasets Revealing Visual Multilingual Ability of Vision Language Models
Jesse Atuhurra
Iqra Ali
Tatsuya Hiraoka
Hidetaka Kamigaito
Tomoya Iwakura
Taro Watanabe
44
1
0
29 Mar 2024
The pitfalls of next-token prediction
The pitfalls of next-token prediction
Gregor Bachmann
Vaishnavh Nagarajan
39
63
0
11 Mar 2024
GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless
  Generative Inference of LLM
GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM
Hao Kang
Qingru Zhang
Souvik Kundu
Geonhwa Jeong
Zaoxing Liu
Tushar Krishna
Tuo Zhao
MQ
43
79
0
08 Mar 2024
Stepwise Self-Consistent Mathematical Reasoning with Large Language
  Models
Stepwise Self-Consistent Mathematical Reasoning with Large Language Models
Zilong Zhao
Yao Rong
Dongyang Guo
Emek Gözlüklü
Emir Gülboy
Enkelejda Kasneci
LRM
44
3
0
24 Feb 2024
Hint-before-Solving Prompting: Guiding LLMs to Effectively Utilize
  Encoded Knowledge
Hint-before-Solving Prompting: Guiding LLMs to Effectively Utilize Encoded Knowledge
Jinlan Fu
Shenzhen Huangfu
Hang Yan
See-Kiong Ng
Xipeng Qiu
LRM
50
7
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
30
101
0
20 Feb 2024
SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning
SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning
Zhihao Wen
Jie Zhang
Yuan Fang
MoE
39
3
0
19 Feb 2024
Deductive Beam Search: Decoding Deducible Rationale for Chain-of-Thought
  Reasoning
Deductive Beam Search: Decoding Deducible Rationale for Chain-of-Thought Reasoning
Tinghui Zhu
Kai Zhang
Jian Xie
Yu-Chuan Su
LRM
28
15
0
31 Jan 2024
Demystifying Chains, Trees, and Graphs of Thoughts
Demystifying Chains, Trees, and Graphs of Thoughts
Maciej Besta
Florim Memedi
Zhenyu Zhang
Robert Gerstenberger
Guangyuan Piao
...
Aleš Kubíček
H. Niewiadomski
Aidan O'Mahony
Onur Mutlu
Torsten Hoefler
AI4CE
LRM
75
27
0
25 Jan 2024
In-context Learning with Retrieved Demonstrations for Language Models: A
  Survey
In-context Learning with Retrieved Demonstrations for Language Models: A Survey
an Luo
Xin Xu
Yue Liu
Panupong Pasupat
Mehran Kazemi
RALM
34
55
0
21 Jan 2024
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning
Yougang Lyu
Jitai Hao
Zihan Wang
Kai Zhao
Shen Gao
Pengjie Ren
Zhumin Chen
Fang Wang
Zhaochun Ren
AILaw
27
9
0
10 Dec 2023
AlignedCoT: Prompting Large Language Models via Native-Speaking
  Demonstrations
AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations
Zhicheng YANG
Yinya Huang
Jing Xiong
Liang Feng
Xiaodan Liang
Yiwei Wang
Jing Tang
LRM
31
1
0
22 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
Explain-then-Translate: An Analysis on Improving Program Translation
  with Self-generated Explanations
Explain-then-Translate: An Analysis on Improving Program Translation with Self-generated Explanations
Zilu Tang
Mayank Agarwal
Alex Shypula
Bailin Wang
Derry Wijaya
Jie Chen
Yoon Kim
LRM
37
16
0
13 Nov 2023
RoboVQA: Multimodal Long-Horizon Reasoning for Robotics
RoboVQA: Multimodal Long-Horizon Reasoning for Robotics
P. Sermanet
Tianli Ding
Jeffrey Zhao
Fei Xia
Debidatta Dwibedi
...
Pannag R. Sanketi
Karol Hausman
Izhak Shafran
Brian Ichter
Yuan Cao
LM&Ro
36
50
0
01 Nov 2023
Small Language Models Fine-tuned to Coordinate Larger Language Models
  improve Complex Reasoning
Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex Reasoning
Gurusha Juneja
Subhabrata Dutta
Soumen Chakrabarti
Sunny Manchanda
Tanmoy Chakraborty
LRM
ReLM
16
15
0
21 Oct 2023
Towards Understanding Sycophancy in Language Models
Towards Understanding Sycophancy in Language Models
Mrinank Sharma
Meg Tong
Tomasz Korbak
David Duvenaud
Amanda Askell
...
Oliver Rausch
Nicholas Schiefer
Da Yan
Miranda Zhang
Ethan Perez
227
197
0
20 Oct 2023
Toolink: Linking Toolkit Creation and Using through Chain-of-Solving on
  Open-Source Model
Toolink: Linking Toolkit Creation and Using through Chain-of-Solving on Open-Source Model
Cheng Qian
Chenyan Xiong
Zhenghao Liu
Zhiyuan Liu
LRM
34
12
0
08 Oct 2023
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
When Do Program-of-Thoughts Work for Reasoning?
When Do Program-of-Thoughts Work for Reasoning?
Zhen Bi
Ningyu Zhang
Yinuo Jiang
Shumin Deng
Guozhou Zheng
Huajun Chen
LRM
38
20
0
29 Aug 2023
Chain of Thought Prompting Elicits Knowledge Augmentation
Chain of Thought Prompting Elicits Knowledge Augmentation
Di Wu
Jing Zhang
Xinmei Huang
LRM
30
31
0
04 Jul 2023
Faith and Fate: Limits of Transformers on Compositionality
Faith and Fate: Limits of Transformers on Compositionality
Nouha Dziri
Ximing Lu
Melanie Sclar
Xiang Lorraine Li
Liwei Jian
...
Sean Welleck
Xiang Ren
Allyson Ettinger
Zaïd Harchaoui
Yejin Choi
ReLM
LRM
32
336
0
29 May 2023
FERMAT: An Alternative to Accuracy for Numerical Reasoning
FERMAT: An Alternative to Accuracy for Numerical Reasoning
Jasivan Sivakumar
N. Moosavi
ReLM
LRM
45
3
0
27 May 2023
OlaGPT: Empowering LLMs With Human-like Problem-Solving Abilities
OlaGPT: Empowering LLMs With Human-like Problem-Solving Abilities
Yuanzhen Xie
Tao Xie
Mingxiong Lin
Wen-Ke Wei
Chenglin Li
Beibei Kong
Lei Chen
Chengxiang Zhuo
Bo Hu
Zang Li
RALM
LLMAG
LRM
30
6
0
23 May 2023
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly
  Generating Predictions and Natural Language Explanations
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations
Jesus Solano
Oana-Maria Camburu
Pasquale Minervini
22
1
0
22 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
125
0
21 May 2023
OPT-R: Exploring the Role of Explanations in Finetuning and Prompting
  for Reasoning Skills of Large Language Models
OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models
Badr AlKhamissi
Siddharth Verma
Ping Yu
Zhijing Jin
Asli Celikyilmaz
Mona T. Diab
LRM
ReLM
35
10
0
19 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
Hint of Thought prompting: an explainable and zero-shot approach to
  reasoning tasks with LLMs
Hint of Thought prompting: an explainable and zero-shot approach to reasoning tasks with LLMs
IokTong Lei
Zhidong Deng
ReLM
RALM
LRM
27
4
0
19 May 2023
Assessing Hidden Risks of LLMs: An Empirical Study on Robustness,
  Consistency, and Credibility
Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility
Wen-song Ye
Mingfeng Ou
Tianyi Li
Yipeng Chen
Xuetao Ma
...
Sai Wu
Jie Fu
Gang Chen
Haobo Wang
Jun Zhao
46
36
0
15 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
29
33
0
09 May 2023
ChatLLM Network: More brains, More intelligence
ChatLLM Network: More brains, More intelligence
Rui Hao
Linmei Hu
Weijian Qi
Qingliu Wu
Yirui Zhang
Liqiang Nie
LLMAG
ALM
LRM
29
35
0
24 Apr 2023
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in
  Large Language Models
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
Jiashuo Sun
Yi Luo
Yeyun Gong
Chen Lin
Yelong Shen
Jian Guo
Nan Duan
LRM
44
19
0
23 Apr 2023
Progressive-Hint Prompting Improves Reasoning in Large Language Models
Progressive-Hint Prompting Improves Reasoning in Large Language Models
Chuanyang Zheng
Zhengying Liu
Enze Xie
Zhenguo Li
Yu Li
LLMAG
ReLM
LRM
41
103
0
19 Apr 2023
REFINER: Reasoning Feedback on Intermediate Representations
REFINER: Reasoning Feedback on Intermediate Representations
Debjit Paul
Mete Ismayilzada
Maxime Peyrard
Beatriz Borges
Antoine Bosselut
Robert West
Boi Faltings
ReLM
LRM
41
171
0
04 Apr 2023
Chain-of-Thought Predictive Control
Chain-of-Thought Predictive Control
Zhiwei Jia
Vineet Thumuluri
Fangchen Liu
Ling-Hao Chen
Zhiao Huang
H. Su
LM&Ro
39
20
0
03 Apr 2023
Language Models can Solve Computer Tasks
Language Models can Solve Computer Tasks
Geunwoo Kim
Pierre Baldi
Stephen Marcus McAleer
LLMAG
LM&Ro
43
344
0
30 Mar 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
Can neural networks do arithmetic? A survey on the elementary numerical
  skills of state-of-the-art deep learning models
Can neural networks do arithmetic? A survey on the elementary numerical skills of state-of-the-art deep learning models
Alberto Testolin
AIMat
35
20
0
14 Mar 2023
CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation
  Verification
CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification
Seungone Kim
Se June Joo
Yul Jang
Hyungjoo Chae
Jinyoung Yeo
LRM
22
12
0
07 Mar 2023
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