One vague possibility: hallucinations are mitigated by looking at uncertainty in token prediction, the idea being that it’s a proxy for factual uncertainty, and the system is more likely to confabulate a court case or whatever if it only has a fuzzy idea of what comes next. But this won’t work for reasoning models which solve math problems: the next token for “x=“ is highly uncertain until you’ve done the computation!