1d ago

New ICML Paper Tackles Limitations of Uncertainty-Based Early Stopping for Reasoning Models

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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

11:45 AM ยท May 15, 2026 View on X
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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.

XiduluXidulu@xidulu

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

6:45 PM ยท May 15, 2026 ยท 4.4K Views
10:59 PM ยท May 15, 2026 ยท 1.2K Views
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