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Ramin Fahimi

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#artificial intelligence Preprint Sep 2026

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 models effectively. We o...

Nikhil Reddy Pottanigari, Ramin Fahimi, Noah Bolger et al. · 0 citations

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