推理 / NAVIN RESEARCH
Verify AI Reasoning Without Requesting Chain-of-Thought
Check final answers with tests, constraints, citations, and independent computation instead of collecting private reasoning traces.
Check final answers with tests, constraints, citations, and independent computation instead of collecting private reasoning traces.
简要回答: Verification should target observable claims. Use unit tests for code, calculators for arithmetic, schema and invariant checks for data, source inspection for factual answers, and independent judges only where deterministic checks are unavailable.
实施步骤
- Convert the task requirements into executable or inspectable checks.
- Ask the model for a concise answer, assumptions, and evidence - not hidden reasoning.
- Run deterministic checks before any model-based evaluator.
- Return precise failure feedback for one bounded correction pass.
验证清单
- Seed known wrong answers and confirm the verifier catches them.
- Check both false acceptance and false rejection.
- Keep evaluator inputs independent from irrelevant authoring context.
常见错误
- Treating fluent explanations as correctness.
- Using the same prompt and model as both author and sole judge.
- Publishing citations without checking that they support the claim.
实际决策
先交付能够通过上述检查的最小设计。记录测试中使用的模型、提示词、工具、数据集与运行时版本，让后续变化可以被比较而不是被猜测。依赖供应商的限制、模型名称、价格或预览功能之前，请重新检查链接文档；这些细节变化往往快于本文的工程原则。
