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Fairness, Accountability, and Transparency In Prompts
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Fairness, Accountability, and Transparency In Prompts
Debiasing using prompts
1.
MsPrompt: Multi-step Prompt Learning for Debiasing Few-shot Event Detection
2.
Debiasing Vision-Language Models via Biased Prompts
3.
Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts
4.
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning
5.
Debiasing Scores and Prompts of 2D Diffusion for Robust Text-to-3D Generation
6.
(good)
Understanding Stereotypes in Language Models: Towards Robust Measurement and Zero-Shot Debiasing
7.
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
Foundational Models - Previous
Prompt
Next - Foundational Models
Large Language Models (LLMs)
Last modified
1mo ago