New ICML Paper Tackles Limitations of Uncertainty-Based Early Stopping for Reasoning Models
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Thrilled to share that our work on conformal risk control for reasoning-time early stopping (to appear in ICML 2026!)
Current uncertainty-based stopping heuristics are hard to calibrate. Our paper reframes the problem through statistical risk control and gives principled guarantees on premature stopping risk.
1/ Our new #ICML paper targets two practical limitations of uncertainty-based early stopping for reasoning models: - Setting threshold values for uncertainty signals is hard. - "Stop when confident" principle fails to halt unsolvable problems https://arxiv.org/abs/2602.03814
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