Who judges the judge? Three helpful ways to audit your LLM evaluators

TL;DR

Large Language Models (LLMs) can exhibit biases similar to human reviewers, impacting their objectivity in evaluations. Key biases include verbosity and position bias, which can significantly alter outcomes.

Key Takeaways

• Measure internal stability to ensure consistent scoring.
• Use chance-corrected metrics for validating human alignment.
• Implement multi-judge ensembles to reduce biases.
• Conduct regular audits to maintain evaluation quality.