RLFR Cuts Hallucinations by 37% with Internal Probes
burny_tech · x · 2026-07-15
The Goodfire team developed RLFR, a method that uses a model's internal probes as reinforcement learning reward signals during training.
They noted that Silico replicated this method in just 2 days, reducing the hallucination rate in Qwen3-8B by 37% without any degradation in the model's capabilities.
Related event: RLFR Method Uses Internal Probes to Reduce LLM Hallucinations by 37%(3 posts)→
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