Author

Ruo-Yu Qi

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Preprint Sep 2026

Stress-Testing Structure-Aware Calibration of Malware Graph Neural Networks under Type Shift

Post-hoc malware calibrators can condition confidence on graph structure, but their structural inputs may leave the support represented by validation data under malware-type shift. We study this risk on MalNet-Tiny by holding out each of four malware types across three seeds, freezing a graph isomorphism network, and f...

Jun-Ru Zhu, Yi-Xin Yang, Xiao-Qing Ding et al. · 0 citations

Preprint Oct 2026

Token-Budgeted Escalation for Financial Document QA: Cost Is Predictable, Benefit Is the Bottleneck

Retrieval-augmented generation systems can route difficult queries to deeper context, but batch deployments must allocate a shared token budget across calls whose costs vary by query. We formulate selective escalation as finite-batch allocation for financial document question answering. Each of 150 FinanceBench questio...

Jun-Ru Zhu, Yi-Xin Yang, Xiao-Qing Ding et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Failure-Transparent Agents: Benchmarking Post-Failure Reporting in Tool-Using Language Models

FTA is introduced, a controlled benchmark that fixes the failed observation and required evidence state before generation, making post-failure claims directly auditable and associated with substantially lower post-failure reporting errors while useful-response rates remain high within this blocked-task benchmark.

Jun-Ru Zhu, Shi-Ming Xie, Ai-Me-Lu-Fan Chen et al. · 0 citations