Fine-tuning Qwen2.5-7B on reactor-operator simulator data yields workload estimates that the authors report as more accurate than zero-shot commercial LLMs, but the evaluation lacks a demonstrated train/test split.
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A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs
Fine-tuning Qwen2.5-7B on reactor-operator simulator data yields workload estimates that the authors report as more accurate than zero-shot commercial LLMs, but the evaluation lacks a demonstrated train/test split.