An LLM-Based Framework for Intent-Driven Network Topology Design

arXiv:2607.00292 · cs.NI, cs.AI, cs.CL · Submitted 2026-07-01 · Read on arXiv

cs.NI, cs.AI, cs.CL

Submitted: 2026-07-01

Updated: 2026-08-27

Terminology

• Redundancy — 13× in this paper · explained in 2 episodes
• Core — 9× in this paper · explained in 2 episodes
• F1 Score — 9× in this paper · explained in 3 episodes
• Structured Reasoning — 9× in this paper · explained in 3 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Consistency — 6× in this paper · explained in 3 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Large Language Model — 5× in this paper
• Prompt Engineering — 5× in this paper · explained in 4 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Structural Constraints — 4× in this paper · explained in 2 episodes
• Ablation study — 3× in this paper · explained in 1 episode
• Content Connectivity — 3× in this paper
• Failure Modes — 3× in this paper · explained in 3 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Large Language Model (LLM) — 2× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Server Connectivity — 2× in this paper
• Abstraction — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• False Negatives — 1× in this paper
• False Positives — 1× in this paper
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Graph Construction — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Structured Prompting — 1× in this paper · explained in 2 episodes
• True Positives — 1× in this paper

Sources

• Exploring the Potential of Large Language Models in Graph Generation

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