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Overcoming Barriers to Skill Injection in Language Modeling: Case Study
  in Arithmetic

Overcoming Barriers to Skill Injection in Language Modeling: Case Study in Arithmetic

3 November 2022
Mandar Sharma
Nikhil Muralidhar
Naren Ramakrishnan
ArXivPDFHTML

Papers citing "Overcoming Barriers to Skill Injection in Language Modeling: Case Study in Arithmetic"

20 / 20 papers shown
Title
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
62
10
0
25 Jul 2022
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
23
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
58
93
0
11 Oct 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
670
41,736
0
28 May 2020
Injecting Numerical Reasoning Skills into Language Models
Injecting Numerical Reasoning Skills into Language Models
Mor Geva
Ankit Gupta
Jonathan Berant
AIMat
LRM
59
225
0
09 Apr 2020
Predicting Neural Network Accuracy from Weights
Predicting Neural Network Accuracy from Weights
Thomas Unterthiner
Daniel Keysers
Sylvain Gelly
Olivier Bousquet
Ilya O. Tolstikhin
55
105
0
26 Feb 2020
Learning Numeral Embeddings
Learning Numeral Embeddings
Chengyue Jiang
Zhonglin Nian
Kaihao Guo
Shanbo Chu
Yinggong Zhao
Libin Shen
Kewei Tu
39
21
0
28 Dec 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and
  lighter
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh
Lysandre Debut
Julien Chaumond
Thomas Wolf
200
7,481
0
02 Oct 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
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning
  Over Paragraphs
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs
Dheeru Dua
Yizhong Wang
Pradeep Dasigi
Gabriel Stanovsky
Sameer Singh
Matt Gardner
AIMat
91
946
0
01 Mar 2019
EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in
  Natural Language Inference
EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference
Abhilasha Ravichander
Aakanksha Naik
Carolyn Rose
Eduard H. Hovy
AIMat
ELM
52
85
0
11 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
1.5K
94,511
0
11 Oct 2018
Stress Test Evaluation for Natural Language Inference
Stress Test Evaluation for Natural Language Inference
Aakanksha Naik
Abhilasha Ravichander
Norman M. Sadeh
Carolyn Rose
Graham Neubig
ELM
67
376
0
02 Jun 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
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
926
7,141
0
20 Apr 2018
Learned in Translation: Contextualized Word Vectors
Learned in Translation: Contextualized Word Vectors
Bryan McCann
James Bradbury
Caiming Xiong
R. Socher
115
907
0
01 Aug 2017
SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and
  Cross-lingual Focused Evaluation
SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation
Daniel Cer
Mona T. Diab
Eneko Agirre
I. Lopez-Gazpio
Lucia Specia
371
1,880
0
31 Jul 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
501
4,473
0
18 Apr 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
321
7,478
0
02 Dec 2016
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
292
6,660
0
08 Jun 2015
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