A new source-grounded QA dataset for U.S. immigration law is built from official documents and used to fine-tune a 3B model, yielding a 27% mean score improvement over the base model on a held-out sample.
Anderson, Peter Henderson, and Daniel E
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ImmigrationQA: A Source-Grounded Dataset and Small-Model Adaptation for U.S. Immigration Law
A new source-grounded QA dataset for U.S. immigration law is built from official documents and used to fine-tune a 3B model, yielding a 27% mean score improvement over the base model on a held-out sample.