SC4ANM: Identifying optimal section combinations for automated novelty prediction in academic papers

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Wenqing Wu, Chengzhi Zhang, Tong Bao, Yi Zhao

Published: 2025, Last Modified: 07 Jan 2026Expert Syst. Appl. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•We use PLMs and LLMs with varied sections to predict academic paper novelty scores.•We assessed PLMs and LLMs performance in predicting novelty scores.•We identified paper sections that contribute to the prediction of novelty scores.•Results revealed optimal section combinations for assessing paper novelty.