AI 安全
QuantiBias Finds Quantized Models Can Pass Short-Form Safety Tests Yet Still Produce Stereotypes in About a Quarter of Open-Ended Responses
QuantiBias holds the model and prompts constant while varying only weight precision, measuring multilingual open-ended bias, refusals, and multiple-choice performance before and after quantization. The authors find that common short-form safety metrics remain broadly stable, yet an independent judge model still classifies about 24% to 27% of open-ended responses as endorsing stereotypes.