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Agentic RL agents can now learn to efficiently manage multiple interaction sessions, outperforming naive broadcasting by precisely attributing value to individual session contributions.
FactGuard's agentic framework substantially boosts video misinformation detection by strategically using external tools and reinforcement learning to overcome the inherent limitations of relying solely on internal MLLM reasoning.