作者位次 #3/8ACL 2026Findings· Findings of ACL
Adaptive Data Collection for L atin- A merican Community-sourced Evaluation of Stereotypes ( LACES )
Guido Ivetta · Pietro Palombini · Sofía Martinelli · Marcos J Gomez · M Emilia Echeveste · Sunipa Dev · Vinodkumar Prabhakaran · Luciana Benotti
摘要
The evaluation of societal biases in NLP models is critically hindered by a geo-cultural gap. This leaves regions such as Latin America severely underserved, making it impossible to adequately assess or mitigate the perpetuation of harmful regional stereotypes in language technologies. This paper...