Error mitigation is expected to turn noisy quantum measurements into more useful estimates. We show that it can instead amplify error. Under control-offset miscalibration, the evaluated unconstrained zero-noise extrapolation (ZNE) estimators are worse than no mitigation on 38-63% of simulated instances and produce extr...
Gui-Lin Zhang, Kai Zhao, Xi-Quan Cui et al.· 0 citations
A cumulative token cap can fall inside a mathematical derivation, forcing a test-time controller to choose between stopping at the cap (strict) and allowing the current attempt to finish (advisory). We measure this boundary choice with paired offline replays of 19,200 public traces: 120 AIME, BrUMO and HMMT problems an...
Gui-Lin Zhang, Zi-Qi Tan, Wu-Lan Guo et al.· 0 citations
It is found that progressive disclosure improves skill-retrieval quality but marginally degrades overall latency, and progressive disclosure of skills as needed improves skill-retrieval quality but marginally degrades overall latency.
Gui-Lin Zhang, Kai Zhao, Priyanka Mudgal et al.· 0 citations
A case study in which a simple AutoML engine, Orcetra, appeared to beat FLAML and AutoGluon on 513 OpenML datasets, winning 57.1% of them at a nominal 60-second budget and 78.4% of datasets against FLAML alone at 30 seconds.
This study presents the first comprehensive evaluation framework systematically assessing XAI robustness under natural image corruptions encountered in production environments and establishes the first evidence-based XAI robustness ranking under natural corruptions, providing actionable guidance for practitioners selec...
Guilin Zhang, Wulan Guo, Ziqi Tan et al.· Applied intelligence (Boston...· 0 citations
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