9 citations · 11 across the 2 of their papers we have counts for
3 papers
cs.AI2026
When LLM Agents See a Conflict but Still Proceed: Cross-Domain Dependencies in Network Slicing
Marcos Lima Romero, Ricardo Suyama
Future AI-native networks are being designed to apply autonomous agents built on large language models (LLMs) in network management through intents. When intents from different dom…
cs.LG2025★ 9 cited
Agentic AI for Intent-Based Industrial Automation
Marcos Lima Romero, Ricardo Suyama
The recent development of Agentic AI systems, empowered by autonomous large language models (LLMs) agents with planning and tool-usage capabilities, enables new possibilities for t…
cs.NI2025★ 2 cited
Towards Network Data Analytics in 5G Systems and Beyond
Marcos Lima Romero, Ricardo Suyama
Data has become a critical asset in the digital economy, yet it remains underutilized by Mobile Network Operators (MNOs), unlike Over-the-Top (OTT) players that lead global market…