一作ACL 2026Poster· Natural Language Processing
Collaborative Chain-of-Agents for Parametric-Retrieved Knowledge Synergy
Yi Jiang · Sendong Zhao · Jianbo Li · Haochun Wang · Lizhe Zhang · Yan Liu · Bing Qin
摘要
Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs), especially for knowledge-intensive tasks. Despite its advantages, current RAG methods often struggle to fully exploit knowledge during generation. In particular, the synergy between the model’s internal parametric knowled...