How can a lab tell whether a model learned routing logic or generation artefacts?
Paired tests and split audits can reveal whether performance depends on business evidence or accidental cues such as identifier prefixes, writing style and recurring templates.
**What shortcut signals should we look for?**
A destination may accidentally correlate with message length, a record identifier prefix or a repeated phrase. A model can exploit those cues without understanding why a team owns the request.
**How can we test that?**
Hold the business facts constant while changing wording, formatting and identifiers. The acceptable route should remain stable. Then hold the wording largely constant while changing a fact that determines ownership. The model should respond to the changed fact.
**What belongs in a split audit?**
Inspect whether closely related generation templates, request variants or shared case families cross training and evaluation boundaries. A nominally separate evaluation file may still contain near copies of patterns encountered during training.
**What should a buyer ask MirrorFirm to support?**
A pilot could include variant-family identifiers and controlled transformations, making these checks possible without exposing hidden generation machinery. Buyers can also request held-out policy structures to probe transfer. Such tests provide evidence about robustness within the defined task scope; they do not establish performance across every business setting.
Inspect shortcut learning before treating strong results on generated requests as evidence of operational reasoning.
- Audience:
- Model labs
- Content type:
- FAQ
- Buyer question:
- How to evaluate it
Content release: r-a220eb6e099b243b
Related questions
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- How should evaluation handle a destination that changes while the agent is working?
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