IRIS extracts identity embeddings from frozen LLMs so each entity is encoded once from its own knowledge graph and matched to other graphs by cosine similarity, hitting 97.99-100.00 Hits@1 on four benchmarks.
URL https://proceedings.neurips.cc/paper_files/paper/ 2023/file/a0e66093d7168b40246af1cddc025daa-Paper- Conference.pdf
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IRIS: Reusable Identity Representations from Frozen LLMs for Entity Alignment
IRIS extracts identity embeddings from frozen LLMs so each entity is encoded once from its own knowledge graph and matched to other graphs by cosine similarity, hitting 97.99-100.00 Hits@1 on four benchmarks.