Author

Bing-Jie Gao

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Preprint Sep 2026

The Right Future for Action: Learning Action-Relevant Predictive States in World Action Models

These findings motivate Action-Relevant Predictive States (ARPS), a compact predictive interface between the video and action experts that achieves 99.2% success on LIBERO and transfers to LIBERO-Plus without adaptation, reaching 87.3% and exceeding Fast-WAM by 39.2 percentage points.

Qiwen Gu, Ji-Fan Li, Bing-Jie Gao et al. · 0 citations

Preprint Aug 2026

R2M-Bench: Evaluating Revisit Memory via Relative Consistency in Interactive Video World Models

The results of R2M-Bench support same-rollout relative calibration as a practical way to distinguish revisit-specific consistency from generic temporal stability.

Qiwen Gu, Bing-Jie Gao, Rui Chen et al. · 5 citations · ⚡1

Jun 2026

Why Struggle with Continuous Latents? Interpretable Discrete Latent Reasoning via Rendered Compression

Inspired by render-based compression, this work renders textual chains of thought into images, extract visual features, and construct a discrete latent vocabulary via clustering-based fine-tuning, and concludes that discrete latent tokens provide a controllable and interpretable basis for efficient latent reasoning.

Shuochen Chang, Qingyang Liu, Shaobo Wang et al. · arXiv.org · 0 citations