MIT researchers have developed a reinforcement learning method, RLCR, that trains AI models to provide calibrated confidence estimates alongside answers, reducing overconfidence by up to 90% without ...
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Teaching AI models to say 'I'm not sure' in cases of calibration errors
Confidence is persuasive. In artificial intelligence systems, it is often misleading. Today's most capable reasoning models ...
MIT researchers have developed a reinforcement learning method, RLCR, that trains AI models to provide calibrated confidence scores alongside answers, reducing overconfidence without harming accuracy.
Using a bunch of carrots to train a pony and rider. (Photo by: Education Images/Universal Images Group via Getty Images) Andrew Barto and Richard Sutton are the recipients of the Turing Award for ...
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