LinguaSafe: A Comprehensive Multilingual Safety Benchmark for Large Language Models

Understand

The widespread adoption and increasing prominence of large language models (LLMs) in global technologies necessitate a rigorous focus on ensuring their safety across a diverse range of linguistic and cultural contexts.

• The lack of a comprehensive evaluation and diverse data in existing multilingual safety evaluations for LLMs limits their effectiveness, hindering the development of robust multilingual safety alignment.
• To address this critical gap, we introduce LinguaSafe, a comprehensive multilingual safety benchmark crafted with meticulous attention to linguistic authenticity.
• The LinguaSafe dataset comprises 45k entries in 12 languages, ranging from Hungarian to Malay.