IntervenSim is an intervention-aware social network simulation that couples source interventions with crowd interactions in a feedback loop, improving MAPE by 41.6% and DTW by 66.9% over prior static frameworks on real-world events.
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ARMS is a learned router for VLM selection trained on a new 32k-query multimodal dataset that outperforms GPT-4o on both in- and out-of-distribution tests after incremental adaptation.
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IntervenSim: Intervention-Aware Social Network Simulation for Opinion Dynamics
IntervenSim is an intervention-aware social network simulation that couples source interventions with crowd interactions in a feedback loop, improving MAPE by 41.6% and DTW by 66.9% over prior static frameworks on real-world events.
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An Effective Router for Vision-Language Model Selection
ARMS is a learned router for VLM selection trained on a new 32k-query multimodal dataset that outperforms GPT-4o on both in- and out-of-distribution tests after incremental adaptation.