作者位次 #3/4ACL 2026Findings· Findings of ACL
MASS - RAG : Multi-Agent Synthesis Retrieval-Augmented Generation
Xingchen Xiao · Heyan Huang · Runheng Liu · Jincheng Xie
摘要
Large language models (LLMs) are widely used in retrieval-augmented generation (RAG) to incorporate external knowledge at inference time. However, when retrieved contexts are noisy, incomplete, or heterogeneous, a single generation process often struggles to reconcile evidence effectively. We pro...