Wenbin Guo

New framework ReaLM fuses KG embeddings with LLMs; study finds KG embedding models unstable

Researchers have developed ReaLM, a new framework that bridges the gap between knowledge graph embeddings and large language models by discretizing KG embeddings into learnable tokens. This approach allows for a more ef…