Parameter alignment strategies substantially reduce forgetting in family-based continual pretraining of multilingual LLMs across 32 languages with minimal impact on language acquisition.
Overcoming Catastrophic Forgetting During Domain Adaptation of Seq2seq Language Generation
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EfficientNetB5 with CBAM reaches 93.3% accuracy on a 1,366-image peach leaf damage dataset and EfficientNetB3 with CBAM reaches 93% macro F1 after transfer to a 180-image local domain.
citing papers explorer
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Parameter Alignment Mitigates Catastrophic Forgetting in Multilingual Expert Language Models
Parameter alignment strategies substantially reduce forgetting in family-based continual pretraining of multilingual LLMs across 32 languages with minimal impact on language acquisition.