QuoteBench: How Matched Scores Can Hide Command-Path Failures 文章

ArXiv CS.AI2026-08-14PAPERen作者: Shangao Li, Yao Zhang, Volker Tresp, Yuanyuan Yang

详细信息

来源站点
ArXiv CS.AI
作者
Shangao Li, Yao Zhang, Volker Tresp, Yuanyuan Yang
文章类型
PAPER
语言
en
发布日期
2026-08-14

摘要

arXiv:2608.13547v1 Announce Type: new Abstract: LLM coding agents issue Bash commands through interfaces that may serialize, wrap, and reparse model output. Matched execution scores alone cannot distinguish command-generation errors from failures introduced after generation. QuoteBench measures this boundary with exact final-state validation on 56 one-shot tasks from 14 incident-derived families, crossing the generation contract with the execution transport around one deliberately unescaped added parser. Escaping at the interpolation point reproduces each replayed reply's raw-path outcome, so any recovery under a disclosed boundary must come from the model changing its generation. Across eight same-window configurations, replaying the same reply through the added parser lowers success by 55.4 to 73.2 percentage points; disclosure recovers 30.4 to 60.7 points for six configurations, and zero or slightly negative for the other two. Raw generation is nearly saturated at the frontier;

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