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...
Rishiraj Sengupta, Sotiris Chatzimiltis, Mohammad Shojafar et al.· 0 citations
Triangle- and mesh-based neural rendering aims to bridge neural scene representations and existing graphics engines (\textit{e.g.}, Unity and Blender) by leveraging triangle primitives compatible with standard rasterization hardware. However, existing methods are developed and evaluated under inconsistent settings, wit...
Kai-Xuan Zhang, Min-Xian Li, Ming-Wu Ren et al.· 0 citations
Blations show that most of the oracle improvement comes from post-edited explanations and annotator comments rather than the scalar centrality feature, suggesting that LLMs are most useful for exposing and approximating structured semantic supervision rather than replacing human judgment directly.
Girish A. Koushik, Swapnil Bhosale, Samarth Agrawal et al.· 0 citations
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