AINeutralarXiv – CS AI · Apr 156/10
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Robust Explanations for User Trust in Enterprise NLP Systems
Researchers propose a black-box robustness evaluation framework for NLP explanations, revealing that decoder-based LLMs produce 73% more stable explanations than encoder models like BERT. The study establishes practical cost-robustness tradeoffs that help organizations select models for compliance-sensitive applications before deployment.
🧠 Llama