Austen Liao

EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models

The diversity of human language, shaped by social, cultural, and regional influences, presents significant challenges for natural language processing (NLP) systems. Existing benchmarks often overlook intra-language variations, leaving speakers of non-standard dialects underserved. To address this ga