研究人员开发了一个新系统，用于量化评估学术论文的难度，重点关注自然语言处理（NLP）领域。该系统考虑了合作、内容和参考文献等因素，并使用熵权法分配研究难度得分。研究发现，论文长度、引用次数以及高水平机构的参与与学术影响力相关，而中等难度的研究往往能取得最大的影响力。 AI
影响 为理解NLP等AI领域的研究趋势和资源分配提供了框架。
排序理由 学术论文提出了一种评估研究难度的新方法。 [lever_c_demoted from research: ic=1 ai=1.0]
在 arXiv cs.IR (Information Retrieval) 阅读 →
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2606.25307v1 Announce Type: cross Abstract: With the rapid growth of the number of academic papers, systematically evaluating the difficulty of research and its relationship to academic impact offers important significance for research topic selection and resource allocatio…
With the rapid growth of the number of academic papers, systematically evaluating the difficulty of research and its relationship to academic impact offers important significance for research topic selection and resource allocation. However, current studies lack quantitative asse…