Shengtao Li

IRIS: Reusable Identity Representations from Frozen LLMs for Entity Alignment

The proposed IRIS (Identity Representations from Internal States), a training-free framework that constructs for each entity an iris-like signature encoding its distinctive and stable identity characteristics, thereby forming a shared space in which each entity is encoded once and can be aligned across different KGs through direct similarity comparison.