MEGA: Multilingual Evaluation of Generative AI

MEGA is a comprehensive benchmark evaluating generative LLMs (ChatGPT, GPT-4, BLOOMZ) on 16 NLP datasets across 70 languages, comparing their performance to state-of-the-art non-autoregressive models on tasks like question answering, natural language inference, and machine translation. The study focuses on multilingual capabilities and cross-lingual performance gaps, particularly for low-resource languages.

Generative AI models have shown impressive performance on many Natural Language Processing tasks such as language understanding, reasoning, and language generation. An important question being asked by the AI community today is about the capabilities and limits of these models, and it is clear that evaluating generative AI is very challenging. Most studies on generative LLMs have been restricted to English and it is unclear how capable these models are at understanding and generating text in oth

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