agent/papers/items/2026-2606-01222-rag-driven-multi-agent-llm-framework-with-task-decomposition-for-beyond-5g-auto-.md

Paper: RAG-driven Multi-Agent LLM Framework with Task Decomposition for Beyond 5G Auto-Configuration

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type: paper title: RAG-driven Multi-Agent LLM Framework with Task Decomposition for Beyond 5G Auto-Configuration authors: İrşat Emin Sarıdaş, Onur Salan, Ali Görçin, Ibrahim Hokelek, Hakan Ali Çırpan year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.01222 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-31 updated_at: 2026-05-31 status: queued relevance: high topics:

• agent-evaluation
• multi-agent
• planning
• rag
• reasoning methods:

benchmarks:

models:

datasets:

• eess.SP related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 16 collection_queries: rag-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: rag-agent
• inferred topics: agent-evaluation, multi-agent, planning, rag, reasoning
• arXiv categories: eess.SP
• collection score: 16

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2606.01222