Comparing LLM and Fine-Tuned Model Performance on NVDRS Circumstance Extraction with Varying Prompt Complexity
Quick Take
LLMs outperform fine-tuned models in extracting complex circumstances from NVDRS data.
Key Points
- Developed a 'Complexity Score' algorithm for prompt selection.
- LLMs excel in low-prevalence, inferentially complex circumstances.
- Framework generalizes across multiple frontier LLMs.
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