Domain-specific fine-tuning of an LLM for NER-RE on human-smuggling court texts yields 15.5% and 31.46% absolute F1 gains over a larger baseline, with reduced noise, duplication, and runtime.
Fine-tuned large language models with structured prompts enable efficient construction of lung cancer knowledge graphs,
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FineREX: Fine-Tuned NER-RE for Human Smuggling Knowledge Graphs
Domain-specific fine-tuning of an LLM for NER-RE on human-smuggling court texts yields 15.5% and 31.46% absolute F1 gains over a larger baseline, with reduced noise, duplication, and runtime.