Teaching AI models to say “I’m not sure”
SMRTR summary
MIT researchers found that today's AI reasoning models are overconfident because their training only rewards right or wrong answers, teaching models to guess boldly rather than express doubt. A new training method called RLCR fixes this by rewarding accurate confidence estimates, reducing calibration error by 90% without sacrificing accuracy.
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