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Backprompting: Leveraging synthetic production data for health advice guardrails

9 hours ago
https://arxiv.org/abs/2508.18384
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  • #Health Advice Detection
  • #Synthetic Data
  • #LLM Guardrails
  • Proposes backprompting, a method to generate production-like labeled data for health advice guardrails in LLMs.
  • Combines backprompting with sparse human-in-the-loop clustering to label synthetic data.
  • Aims to create a parallel corpus resembling real LLM outputs for robust detector training.
  • Demonstrates effectiveness in identifying health advice, outperforming GPT-4o by up to 3.73% with fewer parameters.
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