A Relational-Latent World Model for Long-Horizon Dyadic Interaction: Results on the ACII-DaiKon 2026 Challenge
We present a dyadic relational-latent world model and evaluate it on the ACII Dyadic Conversations (DaiKon) 2026 challenge. Rather than treating the three sub-challenges (Influence, Turn-Taking, and Rapport) as independent prediction targets, we frame them as probes of a single synthesized relational latent learned thr...