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Analysing Mathematical Reasoning Abilities of Neural Models

Analysing Mathematical Reasoning Abilities of Neural Models

2 April 2019
D. Saxton
Edward Grefenstette
Felix Hill
Pushmeet Kohli
    LRM
ArXivPDFHTML

Papers citing "Analysing Mathematical Reasoning Abilities of Neural Models"

50 / 277 papers shown
Title
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical
  Reasoning
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
Ke Wang
Houxing Ren
Aojun Zhou
Zimu Lu
Sichun Luo
Weikang Shi
Renrui Zhang
Linqi Song
Mingjie Zhan
Hongsheng Li
ReLM
LRM
SyDa
30
95
0
05 Oct 2023
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified
  Pre-training
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
Kazem Meidani
Parshin Shojaee
Chandan K. Reddy
A. Farimani
26
18
0
03 Oct 2023
Boolformer: Symbolic Regression of Logic Functions with Transformers
Boolformer: Symbolic Regression of Logic Functions with Transformers
Stéphane dÁscoli
Samy Bengio
Josh Susskind
Emmanuel Abbe
19
5
0
21 Sep 2023
Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open
  Generative Large Language Models
Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models
Neha Sengupta
Sunil Kumar Sahu
Bokang Jia
Satheesh Katipomu
Haonan Li
...
A. Jackson
Hector Xuguang Ren
Preslav Nakov
Timothy Baldwin
Eric P. Xing
LRM
29
41
0
30 Aug 2023
AskIt: Unified Programming Interface for Programming with Large Language
  Models
AskIt: Unified Programming Interface for Programming with Large Language Models
Katsumi Okuda
Saman P. Amarasinghe
ELM
14
2
0
29 Aug 2023
Learning the greatest common divisor: explaining transformer predictions
Learning the greatest common divisor: explaining transformer predictions
Franccois Charton
23
17
0
29 Aug 2023
Boosting Logical Reasoning in Large Language Models through a New
  Framework: The Graph of Thought
Boosting Logical Reasoning in Large Language Models through a New Framework: The Graph of Thought
Bin Lei
Pei-Hung Lin
C. Liao
Caiwen Ding
ReLM
ELM
LRM
AI4CE
27
39
0
16 Aug 2023
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
Sewon Min
Suchin Gururangan
Eric Wallace
Hannaneh Hajishirzi
Noah A. Smith
Luke Zettlemoyer
AILaw
26
63
0
08 Aug 2023
Scaling Relationship on Learning Mathematical Reasoning with Large
  Language Models
Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
Zheng Yuan
Hongyi Yuan
Cheng Li
Guanting Dong
Keming Lu
Chuanqi Tan
Chang Zhou
Jingren Zhou
LRM
ALM
33
167
0
03 Aug 2023
IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation
IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation
Thiviyan Thanapalasingam
Emile van Krieken
Peter Bloem
Paul T. Groth
26
1
0
13 Jul 2023
Towards Robust and Efficient Continual Language Learning
Towards Robust and Efficient Continual Language Learning
Adam Fisch
Amal Rannen-Triki
Razvan Pascanu
J. Bornschein
Angeliki Lazaridou
E. Gribovskaya
MarcÁurelio Ranzato
CLL
32
1
0
11 Jul 2023
SALSA VERDE: a machine learning attack on Learning With Errors with
  sparse small secrets
SALSA VERDE: a machine learning attack on Learning With Errors with sparse small secrets
Cathy Li
Emily Wenger
Zeyuan Allen-Zhu
François Charton
Kristin E. Lauter
AAML
33
10
0
20 Jun 2023
Graph Structure and Feature Extrapolation for Out-of-Distribution
  Generalization
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization
Xiner Li
Shurui Gui
Youzhi Luo
Shuiwang Ji
OODD
OOD
30
10
0
13 Jun 2023
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling
  with Backtracking
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking
Chris Cundy
Stefano Ermon
16
10
0
08 Jun 2023
PromptRobust: Towards Evaluating the Robustness of Large Language Models
  on Adversarial Prompts
PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
Kaijie Zhu
Jindong Wang
Jiaheng Zhou
Zichen Wang
Hao Chen
...
Linyi Yang
Weirong Ye
Yue Zhang
Neil Zhenqiang Gong
Xingxu Xie
SILM
50
144
0
07 Jun 2023
Joint Learning of Label and Environment Causal Independence for Graph
  Out-of-Distribution Generalization
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization
Shurui Gui
Meng Liu
Xiner Li
Youzhi Luo
Shuiwang Ji
CML
OOD
31
24
0
01 Jun 2023
The Impact of Positional Encoding on Length Generalization in
  Transformers
The Impact of Positional Encoding on Length Generalization in Transformers
Amirhossein Kazemnejad
Inkit Padhi
Karthikeyan N. Ramamurthy
Payel Das
Siva Reddy
47
178
0
31 May 2023
Determinantal Point Process Attention Over Grid Cell Code Supports Out
  of Distribution Generalization
Determinantal Point Process Attention Over Grid Cell Code Supports Out of Distribution Generalization
S. S. Mondal
Steven M. Frankland
Taylor Webb
Jonathan D. Cohen
45
1
0
28 May 2023
FERMAT: An Alternative to Accuracy for Numerical Reasoning
FERMAT: An Alternative to Accuracy for Numerical Reasoning
Jasivan Sivakumar
N. Moosavi
ReLM
LRM
43
3
0
27 May 2023
Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through
  Interaction with Symbolic Systems
Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems
Marek Kadlcík
Michal Štefánik
Ondřej Sotolář
Vlastimil Martinek
LRM
27
13
0
24 May 2023
UniChart: A Universal Vision-language Pretrained Model for Chart
  Comprehension and Reasoning
UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning
Ahmed Masry
P. Kavehzadeh
Do Xuan Long
Enamul Hoque
Chenyu You
LRM
27
100
0
24 May 2023
GPT-SW3: An Autoregressive Language Model for the Nordic Languages
GPT-SW3: An Autoregressive Language Model for the Nordic Languages
Ariel Ekgren
Amaru Cuba Gyllensten
Felix Stollenwerk
Joey Öhman
T. Isbister
Evangelia Gogoulou
F. Carlsson
Alice Heiman
Judit Casademont
Magnus Sahlgren
29
13
0
22 May 2023
A Symbolic Framework for Evaluating Mathematical Reasoning and
  Generalisation with Transformers
A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers
Jordan Meadows
Marco Valentino
Damien Teney
André Freitas
41
8
0
21 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
124
0
21 May 2023
GPT-3.5, GPT-4, or BARD? Evaluating LLMs Reasoning Ability in Zero-Shot
  Setting and Performance Boosting Through Prompts
GPT-3.5, GPT-4, or BARD? Evaluating LLMs Reasoning Ability in Zero-Shot Setting and Performance Boosting Through Prompts
Jessica Nayeli López Espejel
E. Ettifouri
Mahaman Sanoussi Yahaya Alassan
El Mehdi Chouham
Walid Dahhane
ELM
LRM
34
85
0
21 May 2023
VNHSGE: VietNamese High School Graduation Examination Dataset for Large
  Language Models
VNHSGE: VietNamese High School Graduation Examination Dataset for Large Language Models
Dao Xuan-Quy
Le Ngoc-Bich
Vo The-Duy
Phan Xuan-Dung
Ngo Bac-Bien
Nguyen Van-Tien
Nguyen Thi-My-Thanh
Nguyen Hong-Phuoc
27
16
0
20 May 2023
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized
  Language Models
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models
Shangbin Feng
Weijia Shi
Yuyang Bai
Vidhisha Balachandran
Tianxing He
Yulia Tsvetkov
KELM
50
30
0
17 May 2023
Code Execution with Pre-trained Language Models
Code Execution with Pre-trained Language Models
Chenxiao Liu
Shuai Lu
Weizhu Chen
Daxin Jiang
Alexey Svyatkovskiy
Shengyu Fu
Neel Sundaresan
Nan Duan
ELM
30
21
0
08 May 2023
Vcc: Scaling Transformers to 128K Tokens or More by Prioritizing
  Important Tokens
Vcc: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens
Zhanpeng Zeng
Cole Hawkins
Min-Fong Hong
Aston Zhang
Nikolaos Pappas
Vikas Singh
Shuai Zheng
21
6
0
07 May 2023
Approximating CKY with Transformers
Approximating CKY with Transformers
Ghazal Khalighinejad
Ollie Liu
Sam Wiseman
52
2
0
03 May 2023
MLCopilot: Unleashing the Power of Large Language Models in Solving
  Machine Learning Tasks
MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks
Lei Zhang
Yuge Zhang
Kan Ren
Dongsheng Li
Yuqing Yang
LLMAG
25
37
0
28 Apr 2023
Evaluating Transformer Language Models on Arithmetic Operations Using
  Number Decomposition
Evaluating Transformer Language Models on Arithmetic Operations Using Number Decomposition
Matteo Muffo
A. Cocco
Enrico Bertino
ReLM
26
25
0
21 Apr 2023
Abstractors and relational cross-attention: An inductive bias for
  explicit relational reasoning in Transformers
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers
Awni Altabaa
Taylor Webb
Jonathan D. Cohen
John Lafferty
30
8
0
01 Apr 2023
The Nordic Pile: A 1.2TB Nordic Dataset for Language Modeling
The Nordic Pile: A 1.2TB Nordic Dataset for Language Modeling
Joey Öhman
S. Verlinden
Ariel Ekgren
Amaru Cuba Gyllensten
T. Isbister
Evangelia Gogoulou
F. Carlsson
Magnus Sahlgren
16
10
0
30 Mar 2023
Koala: An Index for Quantifying Overlaps with Pre-training Corpora
Koala: An Index for Quantifying Overlaps with Pre-training Corpora
Thuy-Trang Vu
Xuanli He
Gholamreza Haffari
Ehsan Shareghi
CLL
27
13
0
26 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
SGD learning on neural networks: leap complexity and saddle-to-saddle
  dynamics
SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics
Emmanuel Abbe
Enric Boix-Adserà
Theodor Misiakiewicz
FedML
MLT
81
73
0
21 Feb 2023
Tree-Based Representation and Generation of Natural and Mathematical
  Language
Tree-Based Representation and Generation of Natural and Mathematical Language
Alexander Scarlatos
Andrew S. Lan
8
18
0
15 Feb 2023
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on
  Reasoning, Hallucination, and Interactivity
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity
Yejin Bang
Samuel Cahyawijaya
Nayeon Lee
Wenliang Dai
Dan Su
...
Tiezheng Yu
Willy Chung
Quyet V. Do
Yan Xu
Pascale Fung
ReLM
LRM
27
1,338
0
08 Feb 2023
GLADIS: A General and Large Acronym Disambiguation Benchmark
GLADIS: A General and Large Acronym Disambiguation Benchmark
Lihu Chen
Gaël Varoquaux
Fabian M. Suchanek
ELM
31
4
0
03 Feb 2023
Recursive Neural Networks with Bottlenecks Diagnose
  (Non-)Compositionality
Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality
Verna Dankers
Ivan Titov
33
2
0
31 Jan 2023
Generalization on the Unseen, Logic Reasoning and Degree Curriculum
Generalization on the Unseen, Logic Reasoning and Degree Curriculum
Emmanuel Abbe
Samy Bengio
Aryo Lotfi
Kevin Rizk
LRM
41
49
0
30 Jan 2023
Break It Down: Evidence for Structural Compositionality in Neural
  Networks
Break It Down: Evidence for Structural Compositionality in Neural Networks
Michael A. Lepori
Thomas Serre
Ellie Pavlick
46
30
0
26 Jan 2023
Learning to solve arithmetic problems with a virtual abacus
Learning to solve arithmetic problems with a virtual abacus
Flavio Petruzzellis
Ling-Hao Chen
Alberto Testolin
34
1
0
17 Jan 2023
Tracing and Manipulating Intermediate Values in Neural Math Problem
  Solvers
Tracing and Manipulating Intermediate Values in Neural Math Problem Solvers
Yuta Matsumoto
Benjamin Heinzerling
Masashi Yoshikawa
Kentaro Inui
AIFin
33
5
0
17 Jan 2023
A Survey of Deep Learning for Mathematical Reasoning
A Survey of Deep Learning for Mathematical Reasoning
Pan Lu
Liang Qiu
Wenhao Yu
Sean Welleck
Kai-Wei Chang
ReLM
LRM
50
139
0
20 Dec 2022
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and
  Chart Derendering
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering
Fangyu Liu
Francesco Piccinno
Syrine Krichene
Chenxi Pang
Kenton Lee
Mandar Joshi
Yasemin Altun
Nigel Collier
Julian Martin Eisenschlos
VLM
LRM
19
89
0
19 Dec 2022
Program of Thoughts Prompting: Disentangling Computation from Reasoning
  for Numerical Reasoning Tasks
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
Wenhu Chen
Xueguang Ma
Xinyi Wang
William W. Cohen
ReLM
ReCod
LRM
104
741
0
22 Nov 2022
A Short Survey of Systematic Generalization
A Short Survey of Systematic Generalization
Yuanpeng Li
AI4CE
43
1
0
22 Nov 2022
Teaching Algorithmic Reasoning via In-context Learning
Teaching Algorithmic Reasoning via In-context Learning
Hattie Zhou
Azade Nova
Hugo Larochelle
Rameswar Panda
Behnam Neyshabur
Hanie Sedghi
LRM
ReLM
35
108
0
15 Nov 2022
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