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

14 March 2022

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 Robert Wolfe Aylin Caliskan VLM 21 13 0 14 Mar 2022
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models Robert Wolfe Aylin Caliskan 87 51 0 01 Oct 2021
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 Elena Voita Rico Sennrich Ivan Titov 204 181 0 03 Sep 2019
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