Author

Long-Xiang Tang

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Preprint Aug 2026

Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models

This work proposes VLAct, a VLA-oriented VLM backbone trained on broad, heterogeneous, multi-embodiment robot data before task-specific fine-tuning, showing that representation-centric continued pre-training can deliver highly competitive performance under a modest compute budget and is an important independent axis of...

Sen-Qiao Yang, Cheng-Yao Wang, Yu-Xin Chen et al. · 8 citations