LLM Judges: Why Upgrading Isn't Always a Straight Path to Fairer AI
LLM judges are evolving, but swapping them out doesn't always lead to clearer verdicts. It's a measurement issue that raises bigger questions about AI fairness and bias.
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Systematic evaluation of 21 LLM-as-a-Judge models reveals reliability flaws and position bias across 541,000 judgments
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arxiv.org·17d agoSystematic evaluation of 21 LLM-as-a-Judge models reveals reliability flaws and position bias across 541,000 judgments
LLM-as-a-Judge has become the dominant evaluation paradigm for language models, but judge validation in practice relies on exact-match agree
arxiv.org·17d ago
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