technique

SHapley Additive exPlanations

techniqueactiveprovisionalshapley-additive-explanations-a2eb6377·1 events·first seen 7d ago

Aliases: SHapley Additive exPlanations

Co-occurring entities

Generative Explainability for Next-Generation Networks: LLM-Augmented XAI with Mutual Feature Interactions Generative Explainability for Next-Generation Networks: LLM-Augmented XAI with Mutual Feature Interactions

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Recent events (1)

3arXiv · cs.LG·7d ago·source ↗

LLM-augmented XAI framework with mutual feature interactions for network operations

A new arXiv paper proposes a framework combining LLMs with SHAP-based explainability, augmented by mutual feature interaction data, to generate natural language explanations for AI/ML models used in network operations. The approach is validated on an optical quality-of-transmission estimation task with human evaluators, showing 12.2% and 6.2% improvements in explanation usefulness and scope over a SHAP-only baseline, with 97.5% correctness. The work targets the gap between technical XAI outputs and actionable insights for non-specialist network operators.

Evaluation and Benchmarking Generative Explainability for Next-Generation Networks: LLM-Augmented XAI with Mutual Feature Interactions SHapley Additive exPlanations Generative Explainability for Next-Generation Networks: LLM-Augmented XAI with Mutual Feature Interactions