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SambaLingo: Teaching Large Language Models New Languages
In this paper, we present a comprehensive investigation into the adaptation of LLMs to new languages.
Efficiently Adapting Pretrained Language Models To New Languages
Recent large language models (LLM) exhibit sub-optimal performance on low-resource languages, as the training data of these models is usually dominated by English and other high-resource languages.
Intermediate Level Adversarial Attack for Enhanced Transferability
Neural networks are vulnerable to adversarial examples, malicious inputs crafted to fool trained models.
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