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

Wenqing Wu, Chengzhi Zhang, Tong Bao, Yi Zhao

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.