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An Empirical Study of Metrics to Measure Representational Harms in
  Pre-Trained Language Models

An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models

22 January 2023
Saghar Hosseini
Hamid Palangi
Ahmed Hassan Awadallah
ArXivPDFHTML

Papers citing "An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models"

5 / 5 papers shown
Title
Harm Mitigation in Recommender Systems under User Preference Dynamics
Harm Mitigation in Recommender Systems under User Preference Dynamics
Jerry Chee
Shankar Kalyanaraman
S. Ernala
Udi Weinsberg
Sarah Dean
Stratis Ioannidis
35
4
0
14 Jun 2024
Llama 2: Open Foundation and Fine-Tuned Chat Models
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron
Louis Martin
Kevin R. Stone
Peter Albert
Amjad Almahairi
...
Sharan Narang
Aurelien Rodriguez
Robert Stojnic
Sergey Edunov
Thomas Scialom
AI4MH
ALM
88
10,947
0
18 Jul 2023
Latent Hatred: A Benchmark for Understanding Implicit Hate Speech
Latent Hatred: A Benchmark for Understanding Implicit Hate Speech
Mai Elsherief
Caleb Ziems
D. Muchlinski
Vaishnavi Anupindi
Jordyn Seybolt
M. D. Choudhury
Diyi Yang
92
236
0
11 Sep 2021
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
206
616
0
03 Sep 2019
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
294
6,943
0
20 Apr 2018
1