Judicator
What it is
Judicator is a Python library that audits LLM-as-a-Judge systems for seven specific bias types, including position, verbosity, and self-consistency. It works by injecting synthetic fixtures into the user's existing LLM judge function to measure statistical deviations in scoring behavior without requiring API key access.
The problem it solves
LLM-as-a-Judge systems are widely used for evaluation but are known to be biased and miscalibrated; however, there is no standard, zero-config tool to systematically detect and quantify these specific biases.
What you could use it for
- Validating the reliability of an automated LLM evaluation pipeline before production deployment
- Diagnosing why an LLM judge is consistently favoring longer responses over accurate shorter ones
- Benchmarking the calibration of a custom scoring model against known bias patterns
Read the source ↗Back to the library →
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