一个名为Eliot的新系统已被开发出来，以帮助研究人员应对快速增长的科学文献量。Eliot通过实时检索arXiv论文、将它们聚类成主题、分配关键词以及可视化发表年份分布来交互式地探索趋势。该系统旨在为快速发展的技术领域提供可审计的概览，通过允许研究人员检查和完善文献趋势背后的证据来补充现有的搜索和生成工具。 AI
影响 为研究人员提供一种新颖的工具，用于对快速变化的技术领域进行可审计的概览，补充现有的搜索和生成工具。
排序理由 该集群描述了一篇详细介绍用于科学文献分析的新系统的研究论文。
在 arXiv cs.IR (Information Retrieval) 阅读 →
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arXiv:2605.27610v1 Announce Type: cross Abstract: The rapid growth of scientific publishing has made it increasingly difficult to track how fast-moving areas evolve. Search engines and LLM-based assistants retrieve or summarize papers, but often hide how the corpus was selected, …
The rapid growth of scientific publishing has made it increasingly difficult to track how fast-moving areas evolve. Search engines and LLM-based assistants retrieve or summarize papers, but often hide how the corpus was selected, organized, or connected to temporal patterns. We p…
"Eliot: Interactively Exploring Fast-Changing Scientific Literature Trends with Online Data and Learning" Eliot is a publicly deployed interactive system for traceable exploration of evolving scientific literature. It retrieves arXiv papers at query time, clusters the corpus into…