Author

Xiaokang Yang

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#artificial intelligence Preprint Sep 2026

OpenCollab: A Multi-Agent Coding Framework with Programmable Collaboration and Controllable Runtime

Multi-agent coding systems are designed to tackle complex software engineering tasks through collaboration. However, existing evaluations typically assume configured organizations are followed faithfully, whereas reality differs. This behavioral gap, combined with differences in underlying system components, prevents c...

Chun-Wah Hsu, Kai Gong, Yu Wu et al. · 1 citation · ⚡1

#artificial intelligence Preprint Sep 2026

M2Tok: Multi-head Multi-codebook Discrete Action Tokenization for Vision-Language-Action Models

Experimental results demonstrate the proposed ${M}^2$Tok, a Multi-head Multi-codebook Action Tokenizer designed to minimize reconstruction error and enhance policy performance, achieves superior reconstruction fidelity and significantly boosts the success rate of VLA models.

Chun-Pu Xu, Zhi-Xuan Liang, Yu-Hao Zhang et al. · 0 citations

MoEActok: A MoE-based Action Tokenizer for Vision-Language-Action Models

Across both simulated and real-world settings, MoEActok-based VLA substantially outperforms existing VLA models in both simulated and real-world settings.

Chun-Pu Xu, Zhi-Xuan Liang, Tianshuo Yang et al. · 1 citation

Preprint Jul 2026

Enfold: Folding World Model Imagination into Predictive Representations for Ultra-Efficient Embodied Control

This work presents Enfold, which transfers this computation that constructs a future into a representation predicted from the current visual context and language instruction, and recast a world generator as a source of predictive control representations if its internal structure can be enfolded into the present.

Wei-Li Zeng, Yi-Tong Xing, Fu-Long Liu et al. · 1 citation