most citedHM-RAG: Hierarchical Multi-Agent Multimodal Retrieval Augmented Generation

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cs.CL2025

From Ranking to Selection: A Simple but Efficient Dynamic Passage Selector for Retrieval Augmented Generation

Siyuan Meng, Junming Liu, Yirong Chen +5

Retrieval-augmented generation (RAG) systems are often bottlenecked by their reranking modules, which typically score passages independently and select a fixed Top-K size. This app…

cs.CL2025★ 1 cited

HM-RAG: Hierarchical Multi-Agent Multimodal Retrieval Augmented Generation

Pei Liu, Xin Liu, Ruoyu Yao +4

While Retrieval-Augmented Generation (RAG) augments Large Language Models (LLMs) with external knowledge, conventional single-agent RAG remains fundamentally limited in resolving c…