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A multimodal transformer that generates personality-aware listener avatars (facial expressions, body and hand gestures) in dyadic conversations. Built with PyTorch using VQ-VAE and transformers, trained on UDIVA. Beats a personality-agnostic baseline on FID and P-FID, and 86% of study participants identified the extroverted avatar.