AIBullisharXiv – CS AI · 6h ago6/10
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Role-Agent: Bootstrapping LLM Agents via Dual-Role Evolution
Researchers introduce Role-Agent, a framework enabling a single LLM to simultaneously function as both agent and training environment through dual-role co-evolution. The system combines World-In-Agent (predicting environment states for process rewards) and Agent-In-World (analyzing failure patterns to optimize training data), achieving 4%+ performance improvements across multiple benchmarks.