DarwinTOD proposes a dual-loop LLM-driven framework with an Evolvable Strategy Bank that enables lifelong autonomous improvement in task-oriented dialog systems through online multi-agent critique and offline evolutionary refinement.
20th-Generation Strategy: Implement a multi-domain dialog policy with intent-aware state tracking and parallel processing, enhanced with the following optimizations
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DarwinTOD: LLM-driven Lifelong Self-evolution for Task-oriented Dialog Systems
DarwinTOD proposes a dual-loop LLM-driven framework with an Evolvable Strategy Bank that enables lifelong autonomous improvement in task-oriented dialog systems through online multi-agent critique and offline evolutionary refinement.