Are Multilingual Language Models Fragile? IBM Adversarial Attack Strategies Cut MBERT QA Performance by 85% | Synced

MBERT is more susceptible to attacks compared to BERT. MBERT gives priority to finding the answer in certain languages, causing successful attacks even when the adversarial statement is in a different language than the question and context. MBERT gives priority to the language of the question over the language of the context. Augmenting the system with machine-translated data helps build a more robust system. — Lees op syncedreview.com/2021/04/22/deepmind-podracer-tpu-based-rl-frameworks-deliver-exceptional-performance-at-low-cost-3/