arXiv:2604.27269v1 Announce Type: new Abstract: Biomedical knowledge graphs (KGs) are widely used in the life sciences, yet many are derived from unstructured documents and
arXiv:2605.20188v1 Announce Type: cross Abstract: Recommending safe and effective medication combinations from electronic health records (EHRs) is a core clinical AI problem, yet
arXiv:2603.25862v1 Announce Type: cross Abstract: Virtually every sector of society is experiencing a dramatic growth in the volume of unstructured textual data that is generated
arXiv:2604.05468v1 Announce Type: new Abstract: Temporal knowledge graph (TKG) extrapolation is an important task that aims to predict future facts through historical interaction
arXiv:2604.00555v1 Announce Type: new Abstract: Enterprise adoption of Large Language Models (LLMs) is constrained by hallucination, domain drift, and the inability to enforce
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