StopLoss aborts likely-failing coding-agent runs early
On SWE-bench Verified it cut cost per retained solve by 4.5 percent while keeping 99 percent of successful runs.
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On SWE-bench Verified it cut cost per retained solve by 4.5 percent while keeping 99 percent of successful runs.
A length-τ observation prefix identifies moments through order 2τ−1, but not necessarily allocation welfare.
Tabular deep regression study finds quantile loss beats tuned MSE, but global early stopping still compromises noisy regions.
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