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JevBench: metamorphic coherence

JevBench measures the probabilistic coherence of typed decision models across 50 metamorphic relations without requiring gold labels.

Source screenshot of JevBench: metamorphic coherence
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What it does

A high coherence score does not establish accuracy. A model could ignore the input and give uniform answers, scoring well for coherence while remaining at chance accuracy. This JevBench is also a different suite from Benchmark Heaven’s accuracy benchmark of the same name.

How you can use it

Install the Python package and run its command-line check against your model’s server address. JevBench sends a fixed series of tests and reports how closely the probabilities follow basic probability laws.

For example, a specific option should not be more likely than the broader category containing it. The suite changes questions slightly and compares the answers to check whether they fit together logically.

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