
CASCADE: Continual LLM Adaptation in Deployment
CASCADE introduces deployment-time learning for LLMs using case-based episodic memory without changing model parameters. It frames experience reuse as a contextual bandit problem for optimal exploration-exploitation. Achieves 20.9% higher success rates across 16 diverse tasks vs. zero-shot prompting.






