作者位次 #2/6ACL 2026Findings· Findings of ACL
Internalizing Multi-Agent Reasoning for Accurate and Efficient LLM -based Recommendation
Yang Wu · Haoze Wang · Qian Li · Jun Zhang · Huan Yu · Jie Jiang
摘要
Large Language Models (LLMs) are reshaping recommender systems by leveraging extensive world knowledge and semantic reasoning to interpret user intent. However, effectively integrating these capabilities with collaborative signals while avoiding prohibitive inference latency remains a critical bo...