Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded Updates

arXiv:2512.04844v2 Announce Type: replace-cross Abstract: Expanding the linguistic diversity of instruct large language models (LLMs) is crucial for global accessibility but is often hindered by the reliance on costly specialized target language labeled data and catastrophic forgetting during...