Toward Robust Multilingual Adaptation of LLMs for Low-Resource Languages

In three linesLiRA, a lightweight fine-tuning framework, improves multilingual LLM adaptation for low-resource languages. It combines Arca (anchor-based alignment to English) and LaSR (language-aware semantic head) to stabilize representations and cross-lingual consistency. Positive results on retrieval, ranking, QA, and reasoning. Multilingual dataset (7 Asian languages) and code released open-source.

Summary generated by Claude — human-verified