Detecting Inconsistencies in Model Specifications with LLM-as-Verifier Reasoning
Model specifications define how large language models (LLMs) should behave, guiding alignment training, inference-time behavior, and evaluation. Yet these specifications may themselves contain defects: two individually reasonable principles may prescribe incompatible behavior when applied to the same situation, leaving no response that satisfies both. Detecting such inconsistencies is challenging. Formalizing natural-language specifications risks losing subtle distinctions, while behavior-based testing cannot reliably distinguish specification defects from differences in model behavior. We introduce VeriSpec, the first approach to directly detect inconsistencies in model specifications by...
| Authors | Zichen Xie, Mrigank Pawagi, Lize Shao et al. |
|---|---|
| Primary category | cs.SE |
| Published | 1 October 2026 |
| Last updated at source | 1 October 2026 |
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