arXiv 2610.28679 · cs.SE · 2026-10-19
VerifierBench: Benchmarking the Generation of Executable Verifiers for LLM Agents
Jianing Yin, Ziyi Chen, Hao Wang, Yiyou Sun, Zijian Jin, Dawn Song, Daoan Zhang
Affiliation unverified
In latest · #320 Added on 2026-10-25
One-line takeaway
VerifierBench tests whether agents can write executable verifiers (222 tasks, 4,993 hidden tests); across 19 models normalized balanced accuracy ranges 10.6–62.1, with verifiers rejecting invalid solutions more reliably than accepting valid ones.
VerifierBench 测 agent 能否为任务写出可执行验证器：222 个任务、4,993 个隐藏测试。19 个模型的平衡准确率仅 10.6 到 62.1，生成的验证器拒错比认对更可靠。
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