arxiv
PublishedJune 11, 2026 at 4:00 AM
—neutral
Mapping Scientific Literature with Large Language Models and Topic Modeling
Publisher summary· verbatim
arXiv:2510.16152v2 Announce Type: replace-cross Abstract: Scientific literature is increasingly fragmented by disciplinary boundaries, specialized terminology, and potentially sparse keyword systems, making it difficult to capture the evolving structure of modern science. This study introduces a lar
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivMODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning19harxivPosition: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!19harxivARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation19harxivGeneralizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions19hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗