The speaker describes RLFR for hallucinations as shaping model behavior in cases where the model's own representations indicate that it recognizes a hallucination.

“And that's what the like, that's what the idea of this kind of RLFR for hallucinations taps into is whenever the model could know according to its own representations that that it was a hallucination,”

“it it in fact does know. And we like.”

“We really shape its behavior there.”