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Preserving What Matters: Semantic Scaffolds Beyond Saturation in Summarization Evaluation
Summarization ships in countless production systems, making model selection a routine decision that depends on measuring summary quality. Existing metrics struggle to support this: ROUGE captures only surface overlap, while LLM-as-judge scores saturate to near-identical values that fail to rank mode
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