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VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models

VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models

Robert Wolfe
Aylin Caliskan
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Papers citing "VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models"

5 / 5 papers shown
Title
Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations
Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations
Robert Wolfe
Aylin Caliskan
VLM
21
13
0
14 Mar 2022
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models
Robert Wolfe
Aylin Caliskan
89
51
0
01 Oct 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
282
1,996
0
31 Dec 2020
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
Elena Voita
Rico Sennrich
Ivan Titov
207
181
0
03 Sep 2019
The Woman Worked as a Babysitter: On Biases in Language Generation
The Woman Worked as a Babysitter: On Biases in Language Generation
Emily Sheng
Kai-Wei Chang
Premkumar Natarajan
Nanyun Peng
223
618
0
03 Sep 2019