TeleCom-Bench: How Far Are Large Language Models from Industrial Telecommunication Applications?
The paper introduces TeleCom-Bench, a benchmark designed to evaluate the performance of Large Language Models (LLMs) in the telecommunications sector. It highlights the gap between LLM capabilities in linguistic tasks and their performance in procedural execution tasks. The benchmark aims to provide a standardized framework to enhance the deployment of LLMs in real-world telecom applications.
- ▪TeleCom-Bench comprises 12 evaluation sets with 22,678 curated samples.
- ▪Current telecom benchmarks focus on static knowledge and neglect essential equipment-specific documentation.
- ▪Evaluations show that LLMs achieve 90% accuracy in linguistic tasks but only about 30% in procedural execution tasks.
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Computer Science > Artificial Intelligence arXiv:2605.18025 (cs) [Submitted on 18 May 2026] Title:TeleCom-Bench: How Far Are Large Language Models from Industrial Telecommunication Applications? Authors:Jieting Xiao, Yun Lin, Huizhen Qiu, Rui Ma, Chen Zhong, Dongyang Xu, Xiao Long, Chaoyu Zhang, Qiaobo Hao, Ding Zou, Zhiguo Yang, Yanqin Gao, Fang Tan View a PDF of the paper titled TeleCom-Bench: How Far Are Large Language Models from Industrial Telecommunication Applications?, by Jieting Xiao and 12 other authors View PDF HTML (experimental) Abstract:While Large Language Models have achieved remarkable integration in various vertical scenarios, their deployment in the telecommunications domain remains exploratory due to the lack of a standardized evaluation framework.
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