TeleCom-Bench: Benchmarking LLMs for Telecom Applications
A new benchmark called TeleCom-Bench has been introduced to evaluate large language models (LLMs) in the telecommunications domain. It addresses the lack of a standardized evaluation framework by providing 12 evaluation sets with 22,678 curated samples. The benchmark assesses LLMs across a hierarchy: multi-dimensional knowledge comprehension (integrating telecom fundamentals, 3GPP protocols, 5G architecture, and proprietary product knowledge) and end-to-end knowledge application for real-world industrial workflows. This aims to bridge the gap between static knowledge tests and practical deployment needs.
Key facts
- TeleCom-Bench comprises 12 evaluation sets with 22,678 curated samples.
- The benchmark evaluates LLMs on multi-dimensional knowledge comprehension and end-to-end knowledge application.
- It integrates telecommunication fundamentals, 3GPP protocols, 5G network architecture, and proprietary product knowledge.
- The benchmark covers wired, core, and wireless networks via knowledge graph-driven synthesis.
- Current telecom benchmarks focus on static, foundational knowledge and isolated atomic skills.
- TeleCom-Bench addresses the lack of a standardized evaluation framework for LLMs in telecommunications.
- The benchmark is designed to assess LLMs for real-world production systems in telecom.
- The work is presented in arXiv paper 2605.18025.
Entities
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