2025
Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties
NeurIPS 2025poster
Large Language Models (LLMs) are predominantly evaluated on Standard American English (SAE), often overlooking the diversity of global English varieties. This narrow focus may raise fairness concerns as degraded performance on non-standard varieties can lead to unequal benefits for users worldwide.…