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Preprint Oct 2026

Remembering What Matters for Long-Horizon Robotic World Models

Autoregressive robot video world models based on discrete visual tokens remain unreliable over long rollout horizons. Retaining the entire generated history does not necessarily improve prediction quality. We investigate a possible memory-role conflict in Full Context decoding: persistent scene information, recent visu...

Hao Wu, Tian-Yu Shao, Sheng-Ju Qian et al. · 0 citations
#artificial intelligence Preprint Oct 2026

XTurnix: Large-Scale Self-Supervised Turn Control through Two-State Binary Decisions

General turn-taking behavior in real-time dialogue systems requires deciding whether to keep listening or start responding while listening, and whether to continue or stop while speaking. Existing turn detectors use heterogeneous, task-specific label spaces and are often trained on limited annotations or evaluated on i...

Zhan-Xun Liu, Yi-Fan Duan, Heng-Tao Wu et al. · 0 citations

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