Fine-tuned models under 1B parameters reach micro-F1 of 0.83 on general-domain RE versus 0.69 for GPT-5.4 zero-shot, with similar gains on literary benchmarks.
Does synthetic data make large language models more efficient? arXiv preprint arXiv:2310.07830, 2023
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Sub-Billion, Super-Frontier: Small Language Models Rival Zero-Shot Frontier LLMs on General and Literary Relation Extraction
Fine-tuned models under 1B parameters reach micro-F1 of 0.83 on general-domain RE versus 0.69 for GPT-5.4 zero-shot, with similar gains on literary benchmarks.