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Do NLP Models Know Numbers? Probing Numeracy in Embeddings

Do NLP Models Know Numbers? Probing Numeracy in Embeddings

17 September 2019
Eric Wallace
Yizhong Wang
Sujian Li
Sameer Singh
Matt Gardner
ArXivPDFHTML

Papers citing "Do NLP Models Know Numbers? Probing Numeracy in Embeddings"

50 / 64 papers shown
Title
Geospatial Mechanistic Interpretability of Large Language Models
Geospatial Mechanistic Interpretability of Large Language Models
Stef De Sabbata
Stefano Mizzaro
Kevin Roitero
AI4CE
37
0
0
06 May 2025
Tokenization is Sensitive to Language Variation
Tokenization is Sensitive to Language Variation
Anna Wegmann
Dong Nguyen
David Jurgens
86
1
0
24 Feb 2025
Disambiguating Numeral Sequences to Decipher Ancient Accounting Corpora
Disambiguating Numeral Sequences to Decipher Ancient Accounting Corpora
Logan Born
M. Willis Monroe
Kemal Kurniawan
Anoop Sarkar
152
0
0
31 Jan 2025
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
Vatsal Gupta
Pranshu Pandya
Tushar Kataria
Vivek Gupta
Dan Roth
AAML
66
1
0
03 Jan 2025
Mathematical Language Models: A Survey
Mathematical Language Models: A Survey
Wen Liu
Hanglei Hu
Jie Zhou
Yuyang Ding
Junsong Li
...
Mengliang He
Qin Chen
Bo Jiang
Aimin Zhou
Liang He
LRM
84
13
0
03 Jan 2025
Number Cookbook: Number Understanding of Language Models and How to Improve It
Number Cookbook: Number Understanding of Language Models and How to Improve It
Haotong Yang
Yi Hu
Shijia Kang
Zhouchen Lin
Muhan Zhang
LRM
46
4
0
06 Nov 2024
The Geometry of Numerical Reasoning: Language Models Compare Numeric Properties in Linear Subspaces
The Geometry of Numerical Reasoning: Language Models Compare Numeric Properties in Linear Subspaces
Ahmed Oumar El-Shangiti
Tatsuya Hiraoka
Hilal AlQuabeh
Benjamin Heinzerling
Kentaro Inui
44
1
0
17 Oct 2024
Language Models Encode Numbers Using Digit Representations in Base 10
Language Models Encode Numbers Using Digit Representations in Base 10
Amit Arnold Levy
Mor Geva
27
5
0
15 Oct 2024
Explicitly Encoding Structural Symmetry is Key to Length Generalization
  in Arithmetic Tasks
Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic Tasks
Mahdi Sabbaghi
George Pappas
Hamed Hassani
Surbhi Goel
45
4
0
04 Jun 2024
SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems
SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems
Patrick Emami
Zhaonan Li
Saumya Sinha
Truc Nguyen
56
1
0
30 May 2024
Pre-Calc: Learning to Use the Calculator Improves Numeracy in Language
  Models
Pre-Calc: Learning to Use the Calculator Improves Numeracy in Language Models
Vishruth Veerendranath
Vishwa Shah
Kshitish Ghate
35
0
0
22 Apr 2024
Laying Anchors: Semantically Priming Numerals in Language Modeling
Laying Anchors: Semantically Priming Numerals in Language Modeling
Mandar Sharma
Rutuja Murlidhar Taware
Pravesh Koirala
Nikhil Muralidhar
Naren Ramakrishnan
31
2
0
02 Apr 2024
Semantic Sensitivities and Inconsistent Predictions: Measuring the
  Fragility of NLI Models
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models
Erik Arakelyan
Zhaoqi Liu
Isabelle Augenstein
AAML
45
10
0
25 Jan 2024
LLM-Prop: Predicting Physical And Electronic Properties Of Crystalline
  Solids From Their Text Descriptions
LLM-Prop: Predicting Physical And Electronic Properties Of Crystalline Solids From Their Text Descriptions
Andre Niyongabo Rubungo
Craig Arnold
Barry P. Rand
Adji Bousso Dieng
AI4CE
47
29
0
21 Oct 2023
Arithmetic with Language Models: from Memorization to Computation
Arithmetic with Language Models: from Memorization to Computation
Davide Maltoni
Matteo Ferrara
KELM
LRM
45
5
0
02 Aug 2023
Teaching Smaller Language Models To Generalise To Unseen Compositional
  Questions
Teaching Smaller Language Models To Generalise To Unseen Compositional Questions
Tim Hartill
N. Tan
Michael Witbrock
Patricia J. Riddle
ReLM
KELM
LRM
34
2
0
02 Aug 2023
Mitigating Temporal Misalignment by Discarding Outdated Facts
Mitigating Temporal Misalignment by Discarding Outdated Facts
Michael J.Q. Zhang
Eunsol Choi
KELM
HILM
27
17
0
24 May 2023
Human Behavioral Benchmarking: Numeric Magnitude Comparison Effects in
  Large Language Models
Human Behavioral Benchmarking: Numeric Magnitude Comparison Effects in Large Language Models
Raj Sanjay Shah
Vijay Marupudi
Reba Koenen
Khushi Bhardwaj
Sashank Varma
27
6
0
18 May 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
KitchenScale: Learning to predict ingredient quantities from recipe
  contexts
KitchenScale: Learning to predict ingredient quantities from recipe contexts
Donghee Choi
Mogan Gim
Samy Badreddine
Hajung Kim
Donghyeon Park
Jaewoo Kang
23
6
0
21 Apr 2023
Adapting Pretrained Language Models for Solving Tabular Prediction
  Problems in the Electronic Health Record
Adapting Pretrained Language Models for Solving Tabular Prediction Problems in the Electronic Health Record
C. McMaster
D. Liew
Douglas E. V. Pires
42
4
0
27 Mar 2023
Language Model Behavior: A Comprehensive Survey
Language Model Behavior: A Comprehensive Survey
Tyler A. Chang
Benjamin Bergen
VLM
LRM
LM&MA
29
103
0
20 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
Towards Robust Numerical Question Answering: Diagnosing Numerical
  Capabilities of NLP Systems
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Jialiang Xu
Mengyu Zhou
Xinyi He
Shi Han
Dongmei Zhang
AAML
ELM
AIMat
20
6
0
14 Nov 2022
Do Language Models Understand Measurements?
Do Language Models Understand Measurements?
Sungjin Park
Seung-kook Ryu
Edward Choi
ReLM
LRM
57
4
0
23 Oct 2022
Probing with Noise: Unpicking the Warp and Weft of Embeddings
Probing with Noise: Unpicking the Warp and Weft of Embeddings
Filip Klubicka
John D. Kelleher
30
4
0
21 Oct 2022
Can Language Representation Models Think in Bets?
Can Language Representation Models Think in Bets?
Zhi–Bin Tang
Mayank Kejriwal
15
6
0
14 Oct 2022
Language Models are Realistic Tabular Data Generators
Language Models are Realistic Tabular Data Generators
V. Borisov
Kathrin Seßler
Tobias Leemann
Martin Pawelczyk
Gjergji Kasneci
LMTD
29
224
0
12 Oct 2022
Reflection of Thought: Inversely Eliciting Numerical Reasoning in
  Language Models via Solving Linear Systems
Reflection of Thought: Inversely Eliciting Numerical Reasoning in Language Models via Solving Linear Systems
Fan Zhou
Haoyu Dong
Qian Liu
Zhoujun Cheng
Shi Han
Dongmei Zhang
ReLM
LRM
37
5
0
11 Oct 2022
Understanding Prior Bias and Choice Paralysis in Transformer-based
  Language Representation Models through Four Experimental Probes
Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes
Ke Shen
Mayank Kejriwal
27
4
0
03 Oct 2022
Innovations in Neural Data-to-text Generation: A Survey
Innovations in Neural Data-to-text Generation: A Survey
Mandar Sharma
Ajay K. Gogineni
Naren Ramakrishnan
34
10
0
25 Jul 2022
Test2Vec: An Execution Trace Embedding for Test Case Prioritization
Test2Vec: An Execution Trace Embedding for Test Case Prioritization
E. Jabbar
Soheila Zangeneh
Hadi Hemmati
R. Feldt
54
5
0
28 Jun 2022
Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text
  Correspondence
Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence
Myeongjun Jang
Frank Mtumbuka
Thomas Lukasiewicz
36
9
0
08 May 2022
Improving Downstream Task Performance by Treating Numbers as Entities
Improving Downstream Task Performance by Treating Numbers as Entities
Dhanasekar Sundararaman
Vivek Subramanian
Guoyin Wang
Liyan Xu
Lawrence Carin
27
5
0
07 May 2022
Probing Pre-Trained Language Models for Cross-Cultural Differences in
  Values
Probing Pre-Trained Language Models for Cross-Cultural Differences in Values
Arnav Arora
Lucie-Aimée Kaffee
Isabelle Augenstein
VLM
43
124
0
25 Mar 2022
Impact of Pretraining Term Frequencies on Few-Shot Reasoning
Impact of Pretraining Term Frequencies on Few-Shot Reasoning
Yasaman Razeghi
Robert L Logan IV
Matt Gardner
Sameer Singh
ReLM
LRM
32
150
0
15 Feb 2022
What Has Been Enhanced in my Knowledge-Enhanced Language Model?
What Has Been Enhanced in my Knowledge-Enhanced Language Model?
Yifan Hou
Guoji Fu
Mrinmaya Sachan
KELM
35
1
0
02 Feb 2022
Commonsense Knowledge Reasoning and Generation with Pre-trained Language
  Models: A Survey
Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey
Prajjwal Bhargava
Vincent Ng
ReLM
LRM
51
62
0
28 Jan 2022
Reasoning Like Program Executors
Reasoning Like Program Executors
Xinyu Pi
Qian Liu
Bei Chen
Morteza Ziyadi
Zeqi Lin
Qiang Fu
Yan Gao
Jian-Guang Lou
Weizhu Chen
ReLM
LRM
253
52
0
27 Jan 2022
Iconary: A Pictionary-Based Game for Testing Multimodal Communication
  with Drawings and Text
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text
Christopher Clark
Jordi Salvador
Dustin Schwenk
Derrick Bonafilia
Mark Yatskar
...
Aaron Sarnat
Hannaneh Hajishirzi
Aniruddha Kembhavi
Oren Etzioni
Ali Farhadi
MLLM
25
3
0
01 Dec 2021
What Do You See in this Patient? Behavioral Testing of Clinical NLP
  Models
What Do You See in this Patient? Behavioral Testing of Clinical NLP Models
Betty van Aken
S. Herrmann
Alexander Loser
29
11
0
30 Nov 2021
NumGPT: Improving Numeracy Ability of Generative Pre-trained Models
NumGPT: Improving Numeracy Ability of Generative Pre-trained Models
Zhihua Jin
Xin Jiang
Xingbo Wang
Qun Liu
Yong Wang
Xiaozhe Ren
Huamin Qu
16
19
0
07 Sep 2021
How to Query Language Models?
How to Query Language Models?
Leonard Adolphs
S. Dhuliawala
Thomas Hofmann
KELM
24
15
0
04 Aug 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods
  in Natural Language Processing
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu
Weizhe Yuan
Jinlan Fu
Zhengbao Jiang
Hiroaki Hayashi
Graham Neubig
VLM
SyDa
73
3,853
0
28 Jul 2021
MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving
MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving
Zhenwen Liang
Jipeng Zhang
Lei Wang
Wei Qin
Yunshi Lan
Jie Shao
Xiangliang Zhang
AIMat
44
62
0
28 Jul 2021
A Closer Look at How Fine-tuning Changes BERT
A Closer Look at How Fine-tuning Changes BERT
Yichu Zhou
Vivek Srikumar
26
63
0
27 Jun 2021
Pre-Trained Models: Past, Present and Future
Pre-Trained Models: Past, Present and Future
Xu Han
Zhengyan Zhang
Ning Ding
Yuxian Gu
Xiao Liu
...
Jie Tang
Ji-Rong Wen
Jinhui Yuan
Wayne Xin Zhao
Jun Zhu
AIFin
MQ
AI4MH
58
816
0
14 Jun 2021
TABBIE: Pretrained Representations of Tabular Data
TABBIE: Pretrained Representations of Tabular Data
H. Iida
Dung Ngoc Thai
Varun Manjunatha
Mohit Iyyer
LMTD
SSL
VLM
25
170
0
06 May 2021
DirectProbe: Studying Representations without Classifiers
DirectProbe: Studying Representations without Classifiers
Yichu Zhou
Vivek Srikumar
32
27
0
13 Apr 2021
Representing Numbers in NLP: a Survey and a Vision
Representing Numbers in NLP: a Survey and a Vision
Avijit Thawani
Jay Pujara
Pedro A. Szekely
Filip Ilievski
32
114
0
24 Mar 2021
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