Oscar Sainz

Forget fine-tuning: merging language-specific weights into instruction-tuned LLMs unlocks surprisingly effective instruction following in low-resource languages.

LLM semantic understanding can now be evaluated cheaply and in any language, thanks to a new framework that synthesizes benchmarks from dictionaries and sentence encoders.