FairQE

FairQE framework uses multi-agent approach to reduce gender bias in translation quality estimation

Researchers have introduced FairQE, a novel multi-agent framework designed to tackle gender bias in machine translation quality estimation. Existing models often exhibit bias by favoring masculine language or misjudging…