MEGA MLQA
MLQA as part of the MEGA (Multilingual Evaluation of Generative AI) benchmark suite. A multi-way aligned extractive QA evaluation benchmark for cross-lingual question answering across 7 languages (English, Arabic, German, Spanish, Hindi, Vietnamese, and Simplified Chinese) with over 12K QA instances in English and 5K in each other language.
Phi-3.5-MoE-instruct from Microsoft currently leads the MEGA MLQA leaderboard with a score of 0.653 across 2 evaluated AI models.
Phi-3.5-MoE-instruct leads with 65.3%, followed by Phi-3.5-mini-instruct at 61.7%.
Progress Over Time
Interactive timeline showing model performance evolution on MEGA MLQA
MEGA MLQA Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Microsoft | 60B | — | — | ||
| 2 | Microsoft | 4B | 128K | $0.10 / $0.10 |
FAQ
Common questions about MEGA MLQA.
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