Free-Text Evaluation of LLMs for 5G Domain Knowledge and Fault Analysis using LLM-as-Judge
Real-world fault analysis in 5G and emerging 6G networks demands domain expertise to analyze free-text diagnostics, including root-cause explanations and recommended actions. LLMs have emerged as a promising approach to automating this, yet whether lightweight, edge-deployable models are capable of performing in-depth free-text diagnostics remains an open question. While existing benchmarks rely on restrictive MCQs with fixed answer keys, this paper evaluates 5G domain understanding and fault analysis in a free-text generation format. Transitioning to this paradigm requires evaluating lightwei
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- PossiblePossibly related (embedding) · 49%Intel (INTC) Pushes Into NextG Testing With Large Scale Open Source 5G Trials - simplywall.st →
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- LinkedLinked via arxiv author · 85%Rishiraj Sengupta →
“Free-Text Evaluation of LLMs for 5G Domain Knowledge and Fault Analysis using LLM-as-Judge”
- LinkedLinked via arxiv author · 85%Sotiris Chatzimiltis →
“Free-Text Evaluation of LLMs for 5G Domain Knowledge and Fault Analysis using LLM-as-Judge”
- LinkedLinked via arxiv author · 85%Mohammad Shojafar →
“Free-Text Evaluation of LLMs for 5G Domain Knowledge and Fault Analysis using LLM-as-Judge”
- LinkedLinked via arxiv author · 85%Xiatian Zhu →
“Free-Text Evaluation of LLMs for 5G Domain Knowledge and Fault Analysis using LLM-as-Judge”