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Forecasting Future Behavior as a Learning Task

Mosh Levy, Yoav Goldberg, Asa Cooper Stickland
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arXiv:2606.11445v1 Announce Type: new Abstract: Trust in an AI system is often anchored by explanations of how it works, which one then uses to forecast its behavior on new inputs. For large reasoning models (LRMs), this conventional route is particularly difficult to follow: explanation methods for single token generations do not naturally...

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