OpenWAM_Study_Architecture
Collection
Architecture Variant Checkpoints for OpenWAM-Study • 7 items • Updated
An OpenWAM-Study checkpoint from the Q1 architecture comparison, run on RoboTwin 2.0 under a fixed recipe so that only the composition rule changes. The baseline is robotwin_dual_system_joint_self_attention.
Single-System / MoE. Keeps the shared sequence and self-attention but hard-routes action tokens to a dedicated feed-forward expert while video tokens follow the default path, adding modality-specific capacity without separating the streams.
@article{wang2026openwam,
title = {OpenWAM: An Open, Modular Exploration Towards Systematic World-Action Model Pretraining},
author = {Yuran Wang and Siqiao Huang and Mingleyang Li and Chenhao Zhang and Jiaqi Liang and Weiyang Jin and Yue Chen and Xuemin Chi and Donghao Zhou and Qize Yu and Yu-Kai Wang and Yuhan Rui and Shenzhe Yao and Zhen Yuan and Zhenhao Shen and Kefei Zhu and Zijie Zhu and Ning Gao and Xiaowei Chi and Guanqi He and Shanghang Zhang and Hao Dong and Lin Shao and Hang Zhao},
year = {2026},
journal = {arXiv preprint arXiv: 2609.07398}
}