pArticleMap combines article embeddings, graph-based frontier extraction, and agentic LLMs to map nanomedicine literature and generate hypotheses, achieving 10.8% gold recovery and 61% future-neighborhood rate in retrospective benchmarks.
Predictingnewresearchdirectionsinmate- rialsscienceusinglargelanguagemodelsandconceptgraphs
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Evidence-Grounded Frontier Mapping and Agentic Hypothesis Generation in Nanomedicine
pArticleMap combines article embeddings, graph-based frontier extraction, and agentic LLMs to map nanomedicine literature and generate hypotheses, achieving 10.8% gold recovery and 61% future-neighborhood rate in retrospective benchmarks.