most citedLarge-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

3 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

OTel: Open Telco AI Datasets, Benchmarks, and Models

Farbod Tavakkoli, Gregory Diamos, Kenneth Church +19

We present Open Telco (OTel), an open telecom AI resource that releases derived telecom datasets for retrieval, reranking, instruction tuning, and safety/abstention, together with…

cs.AI2026

OTel: Building Domain-Specialized Telecom LLM Foundations for Intelligent Networks

Farbod Tavakkoli, Roderic Paulk, Jorden Terrazas +9

Frontier AI models have advanced rapidly, but they still struggle with telecom-specific tasks. We present Open Telco (OTel), an open telecom AI resource with derived datasets for r…

cs.NI2026

Decision-Theoretic Safety Assessment of Persona-Driven Multi-Agent Systems in O-RAN

Zeinab Nezami, Syed Ali Raza Zaidi, Maryam Hafeez +3

Autonomous network management in Open Radio Access Networks requires intelligent decision making across conflicting objectives, yet existing LLM based multi agent systems employ ho…

cs.CL2026

TelcoAgent-Bench: A Multilingual Benchmark for Telecom AI Agents

Lina Bariah, Brahim Mefgouda, Farbod Tavakkoli +3

The integration of large language model (LLM) agents into telecom networks introduces new challenges, related to intent recognition, tool execution, and resolution generation, whil…

cs.NI2025★ 3 cited

Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi +132

This white paper discusses the role of large-scale AI in the telecommunications industry, with a specific focus on the potential of generative AI to revolutionize network functions…