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Failures Are Fated, But Can Be Faded: Characterizing and Mitigating
  Unwanted Behaviors in Large-Scale Vision and Language Models

Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models

11 June 2024
Som Sagar
Aditya Taparia
Ransalu Senanayake
ArXivPDFHTML

Papers citing "Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models"

3 / 3 papers shown
Title
The Role of Predictive Uncertainty and Diversity in Embodied AI and
  Robot Learning
The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning
Ransalu Senanayake
32
8
0
06 May 2024
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors,
  and Lessons Learned
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
Deep Ganguli
Liane Lovitt
John Kernion
Amanda Askell
Yuntao Bai
...
Nicholas Joseph
Sam McCandlish
C. Olah
Jared Kaplan
Jack Clark
218
441
0
23 Aug 2022
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
M. Kwiatkowska
Sen Wang
Min Wu
AAML
178
929
0
21 Oct 2016
1