Papers with Cheap-to-Build Very Large-Language Models
A Trip Towards Fairness: Bias and De-Biasing in Large Language Models (2024.starsem-1)
Copied to clipboard
| Challenge: | a little or a large bias in CtB-LLMs may cause huge harm . LLaMA and OPT families have an important bias in gender, race, religion, and profession. |
| Approach: | They propose to debiase three families of Very Large-Language Models with LORA to reduce bias by 4.12 points in the normalized stereotype score. |
| Outcome: | The proposed model reduces bias up to 4.12 points in the normalized stereotype score. |