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Beyond Scores: Understanding LLM-as-a-Judge Mechanisms in Summarization Evaluation
LLM-based evaluators of natural language generation (NLG) quality are widely deployed as scoring tools and as automated training signals, yet the internal procedure by which they assign a rating remains poorly understood. We investigate this procedure mechanistically through an eight-attack perturba
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