For medical translation, NLLB-200 3.3B matches or beats 7-8B open-source LLMs in most directions, and fine-tuning it is often as good as fine-tuning much larger LLMs.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Domain-Specific Translation with Open-Source Large Language Models: Resource-Oriented Analysis
For medical translation, NLLB-200 3.3B matches or beats 7-8B open-source LLMs in most directions, and fine-tuning it is often as good as fine-tuning much larger LLMs.