A 300M-parameter guardrail model reportedly matches or beats a 7B model on content-moderation benchmarks, but the proposed RL-guided adversarial training loop degrades performance in the paper's own experiments.
This filtering process ensures that the retained data points meet both accuracy and safety criteria, ultimately leading to a robust and reliable dataset
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Lightweight Safety Guardrails via Synthetic Data and RL-guided Adversarial Training
A 300M-parameter guardrail model reportedly matches or beats a 7B model on content-moderation benchmarks, but the proposed RL-guided adversarial training loop degrades performance in the paper's own experiments.