In the digital kingdom, a new species of arbiter has emerged: the LLM-as-a-judge, where one AI is tasked with evaluating the work of another. This method is tempting, for it promises the nuance of human thought at the speed and scale of a machine, a seemingly perfect blend of instinct and logic. Yet, this judge is not without its flaws, often falling prey to peculiar biases. It may favor the first answer it sees, a curious 'position bias'. It can be swayed by 'verbosity bias,' preferring longer answers, even if they aren't better. And it sometimes exhibits 'self-preference bias,' favoring responses from its own kind.
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