3 papers
cs.AI2026
Evaluating Agentic Configuration Repair for Computer Networks
Rufat Asadli, Benjamin Hoffman, Ioannis Protogeros +1
Misconfigurations in computer networks remain a major source of critical Internet outages. Research is turning to Large Language Models (LLMs) to automate the complex, error-prone…
cs.NI2026
Benchmarking LLM-Driven Network Configuration Repair
Ioannis Protogeros, Rufat Asadli, Benjamin Hoffman +1
There is a rapidly growing interest in using Large Language Models (LLMs) to automate complex network operations, but their reliable adoption requires rigorous assessment of their…
cs.RO2025
Learning More With Less: Sample Efficient Model-Based RL for Loco-Manipulation
Benjamin Hoffman, Jin Cheng, Chenhao Li +1
By combining the agility of legged locomotion with the capabilities of manipulation, loco-manipulation platforms have the potential to perform complex tasks in real-world applicati…