A systematic analysis of 284 manually reviewed papers plus 1.8k+ others from 2023-2025 reveals under-reporting of human evaluation study design details, creating ambiguity in what was measured and how.
On Learning to Summarize with Large Language Models as References
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CL 2years
2026 2representative citing papers
SCURank ranks multiple summary candidates with Summary Content Units to outperform ROUGE and LLM-based methods in summarization distillation.
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Illusions of the Gold Standard: A Large-scale Analysis of Human Evaluation Protocols for Long-form Text Generation
A systematic analysis of 284 manually reviewed papers plus 1.8k+ others from 2023-2025 reveals under-reporting of human evaluation study design details, creating ambiguity in what was measured and how.
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SCURank: Ranking Multiple Candidate Summaries with Summary Content Units for Enhanced Summarization
SCURank ranks multiple summary candidates with Summary Content Units to outperform ROUGE and LLM-based methods in summarization distillation.