AI RESEARCH
SCURank: Ranking Multiple Candidate Summaries with Summary Content Units for Enhanced Summarization
arXiv CS.AI
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ArXi:2604.19185v1 Announce Type: cross Small language models (SLMs), such as BART, can achieve summarization performance comparable to large language models (LLMs) via distillation. However, existing LLM-based ranking strategies for summary candidates suffer from instability, while classical metrics (e.g., ROUGE) are insufficient to rank high-quality summaries. To address these issues, we