AI tools for scholarly knowledge management need better cross-community collaboration

A new perspective paper on arXiv highlights the growing need for AI-driven tools to manage the overwhelming volume of scholarly publications. While many researchers still rely on manual methods, the paper identifies independent efforts across various communities to develop AI-enabled knowledge bases. It emphasizes the importance of fostering cross-disciplinary dialogue to share methods, models, and best practices for more integrated solutions in scholarly knowledge organization. AI

IMPACT Highlights the need for better AI tools and collaboration to manage the growing volume of research papers.

RANK_REASON The item is a research paper published on arXiv discussing AI applications in scholarly knowledge management. [lever_c_demoted from research: ic=1 ai=1.0]

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