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EXP-SEC transforms how security analysts interpret intrusion alerts by providing tailored, domain-specific explanations that enhance decision-making in real-time.
LLMs can only decompose complex data analysis queries into executable tool-based plans with ~85% accuracy, highlighting persistent gaps in tool understanding and planning ability for contact center AI.
LLM-based contact center QA systems exhibit systematic unfairness, with contextual priming inducing CFR increases up to 16.4%, even in larger, strongly aligned models.
