most citedRAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning

3 citations · 3 across the 3 of their papers we have counts for

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cs.AI2025

AdvEvo-MARL: Shaping Internalized Safety through Adversarial Co-Evolution in Multi-Agent Reinforcement Learning

Zhenyu Pan, Yiting Zhang, Zhuo Liu +13

LLM-based multi-agent systems excel at planning, tool use, and role coordination, but their openness and interaction complexity also expose them to jailbreak, prompt-injection, and…