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Do Language Models Understand Measurements?

Do Language Models Understand Measurements?

23 October 2022
Sungjin Park
Seung-kook Ryu
Edward Choi
    ReLM
    LRM
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Papers citing "Do Language Models Understand Measurements?"

20 / 20 papers shown
Title
Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model
Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model
Kuntal Kumar Pal
Chitta Baral
130
19
0
10 Sep 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
31
19
0
07 Sep 2021
BARTScore: Evaluating Generated Text as Text Generation
BARTScore: Evaluating Generated Text as Text Generation
Weizhe Yuan
Graham Neubig
Pengfei Liu
95
842
0
22 Jun 2021
NT5?! Training T5 to Perform Numerical Reasoning
NT5?! Training T5 to Perform Numerical Reasoning
Peng Yang
Ying Chen
Yuechan Chen
Daniel Cer
AIMat
LRM
33
15
0
15 Apr 2021
Probing for Multilingual Numerical Understanding in Transformer-Based
  Language Models
Probing for Multilingual Numerical Understanding in Transformer-Based Language Models
Devin J. Johnson
Denise Mak
Drew Barker
Lexi Loessberg-Zahl
LRM
37
18
0
13 Oct 2020
Do Language Embeddings Capture Scales?
Do Language Embeddings Capture Scales?
Xikun Zhang
Deepak Ramachandran
Ian Tenney
Yanai Elazar
Dan Roth
MILM
ReLM
LRM
61
93
0
11 Oct 2020
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text
  Mining
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining
Yifan Peng
Qingyu Chen
Zhiyong Lu
53
115
0
06 May 2020
Birds have four legs?! NumerSense: Probing Numerical Commonsense
  Knowledge of Pre-trained Language Models
Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models
Bill Yuchen Lin
Seyeon Lee
Rahul Khanna
Xiang Ren
AIMat
53
158
0
02 May 2020
Injecting Numerical Reasoning Skills into Language Models
Injecting Numerical Reasoning Skills into Language Models
Mor Geva
Ankit Gupta
Jonathan Berant
AIMat
LRM
64
226
0
09 Apr 2020
oLMpics -- On what Language Model Pre-training Captures
oLMpics -- On what Language Model Pre-training Captures
Alon Talmor
Yanai Elazar
Yoav Goldberg
Jonathan Berant
LRM
98
304
0
31 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
444
42,393
0
03 Dec 2019
How Can We Know What Language Models Know?
How Can We Know What Language Models Know?
Zhengbao Jiang
Frank F. Xu
Jun Araki
Graham Neubig
KELM
130
1,403
0
28 Nov 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language
  Representations
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan
Mingda Chen
Sebastian Goodman
Kevin Gimpel
Piyush Sharma
Radu Soricut
SSL
AIMat
346
6,448
0
26 Sep 2019
Do NLP Models Know Numbers? Probing Numeracy in Embeddings
Do NLP Models Know Numbers? Probing Numeracy in Embeddings
Eric Wallace
Yizhong Wang
Sujian Li
Sameer Singh
Matt Gardner
71
265
0
17 Sep 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
566
2,664
0
03 Sep 2019
How Large Are Lions? Inducing Distributions over Quantitative Attributes
How Large Are Lions? Inducing Distributions over Quantitative Attributes
Yanai Elazar
A. Mahabal
Deepak Ramachandran
Tania Bedrax-Weiss
Dan Roth
54
59
0
04 Jun 2019
BioBERT: a pre-trained biomedical language representation model for
  biomedical text mining
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee
Wonjin Yoon
Sungdong Kim
Donghyeon Kim
Sunkyu Kim
Chan Ho So
Jaewoo Kang
OOD
149
5,643
0
25 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.7K
94,729
0
11 Oct 2018
Numeracy for Language Models: Evaluating and Improving their Ability to
  Predict Numbers
Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers
Georgios P. Spithourakis
Sebastian Riedel
51
83
0
21 May 2018
Verb Physics: Relative Physical Knowledge of Actions and Objects
Verb Physics: Relative Physical Knowledge of Actions and Objects
Maxwell Forbes
Yejin Choi
32
84
0
12 Jun 2017
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