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QuoteBench: How Matched Scores Can Hide Command-Path Failures

Research LLM Agents

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Merged summary

TL;DR - QuoteBench shows that execution interfaces can severely distort evaluations of command-generating coding agents. Similar aggregate scores may conceal major command-path failures and model compensation.

  • Tests 56 one-shot tasks across 14 incident-derived command-quoting failure families.
  • Adding one unescaped parser reduced success by 55.4–73.2 percentage points across eight configurations.
  • Disclosing the boundary recovered 30.4–60.7 points for six configurations, but provided no benefit for two.
  • The execution path can reorder model rankings, so evaluations should report generation contracts, transport details, operating points, and final-state validators.

Sources (1)

QuoteBench: How Matched Scores Can Hide Command-Path Failures

arXiv cs.AI Shangao Li, Yao Zhang, Volker Tresp, Yuanyuan Yang 2026-08-13 arXiv:2608.13547
Public signals Hugging Face upvotes 8
Providers: Hugging Face · Upvotes 8 OpenAlex · N/A Publisher · N/A Semantic Scholar · N/A X · N/A Fetched 2026-09-15 14:32:53.853664 UTC

TL;DR - QuoteBench shows that execution interfaces can severely distort evaluations of command-generating coding agents. Similar aggregate scores may conceal major command-path failures and model compensation.

  • Tests 56 one-shot tasks across 14 incident-derived command-quoting failure families.
  • Adding one unescaped parser reduced success by 55.4–73.2 percentage points across eight configurations.
  • Disclosing the boundary recovered 30.4–60.7 points for six configurations, but provided no benefit for two.
  • The execution path can reorder model rankings, so evaluations should report generation contracts, transport details, operating points, and final-state validators.
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