The Context-Value-Action architecture decouples reasoning from action in LLM agents via a human-data-trained Value Verifier, mitigating polarization and outperforming prompt-based methods on a large real-world benchmark.
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Context-Value-Action Architecture for Value-Driven Large Language Model Agents
The Context-Value-Action architecture decouples reasoning from action in LLM agents via a human-data-trained Value Verifier, mitigating polarization and outperforming prompt-based methods on a large real-world benchmark.