KDS selects instruction-tuning data by measuring knowledge alignment (NLI entailment vs reference) and knowledge consistency (cluster entropy of sampled responses), and reports gains on medical QA benchmarks.
Finetuned language models are zero-shot learners,
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Resolving Knowledge Conflicts in Domain-specific Data Selection: A Case Study on Medical Instruction-tuning
KDS selects instruction-tuning data by measuring knowledge alignment (NLI entailment vs reference) and knowledge consistency (cluster entropy of sampled responses), and reports gains on medical QA benchmarks.