A Unified Evaluation Framework for Trustworthy Large Language Models, Agentic AI, and Multimodal Systems

Benchmark scores alone provide an incomplete basis for assessing the trustworthiness of modern artificial intelligence systems. Large language models (LLMs), agentic systems, and multimodal models (MLLMs) require different forms of assessment, yet their evaluation evidence must remain interpretable