Haiping Zhu

ReaEmb harnesses LLMs' reasoning power to explicitly align collaborative signals, leading to superior performance in sequential recommendations.

LLMs often fail to reconcile conflicting information from text and knowledge graphs, instead latching onto a single source based on prompting, highlighting a critical vulnerability in RAG systems.