CTBench: Evaluating Troubleshooting Capabilities of AI Agents in Realistic Telecom Network Operations
Agents are increasingly considered for automating network operations and maintenance, where engineers must diagnose network faults, optimize configurations to enhance services, and reduce operational costs while acting under strict constraints. However, existing evaluations fail to accurately model real network characteristics or assess agents under partially observable telecom environments with diverse vendors, devices, protocols, and interfaces. In this paper, we introduce CTBench, a public be
Record details
Published: 12 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Healthcare · Agents & autonomy · Environment
Retrieved: 13 August 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
ResidencyRL: Reinforcement Learning in Simulated Clinical Environments
arXiv · 7 August 2026
Change2Task: From Repository Changes to Executable Coding Agent Tasks and Environments
arXiv cs.LG · 30 July 2026
Benchmarking the Safety of Large Language Models for Robotic Health Attendant Control
arXiv cs.CY · 27 July 2026
DBA-Bench: A Production-Fidelity Benchmark for LLM-Based Database Operations Agents
arXiv cs.AI · 24 July 2026
Clinical Pathways as Safety Specifications for Physical AI in Hospital Wards
arXiv cs.CY · 23 July 2026
SR-Agent: An Experience-Driven Agentic Framework for Post-Ranking Strategies Refinement in E-Commerce Recommendation
arXiv · 20 July 2026
How to cite this record
ethics.ai (12 August 2026), “CTBench: Evaluating Troubleshooting Capabilities of AI Agents in Realistic Telecom Network Operations,” evidence record 19043, https://ethics.ai/record/19043 (originally published by arXiv cs.AI).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.