Open access
Sep 2026
Bridging trust and performance in intelligent systems: Hybrid explainable AI approaches for interpreting large language models
A hybrid explainability framework that integrates saliency-based attribution, causal reasoning, and user-centered visualization into a unified, efficiency-aware pipeline is introduced, positioning hybrid XAI as a pathway toward responsible LLM adoption.
A. P, Tamije Selvy P
· PLoS ONE · 0 citations