Author

Jiahao Shao

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Preprint Aug 2026

Thinking With Tools, Not With Pixels: Tool Calls as Text Scaffolds for Visual Reasoning

Tool-augmented vision-language models increasingly"think with images": they call crop, zoom, or code tools and reason over the returned pixels. However, recent work using blind tests, gain decompositions, and attention analyses has shown that returned images contribute little, raising the question: if pixels do not car...

Jiahao Shao, Yuanbo Yang, Yi-Yi Liao et al. · 3 citations

Jul 2026

Native Video-Action Pretraining for Generalizable Robot Control

LingBot-VA 2.0 is presented, a video-action foundation model built from the ground up for embodiment, which introduces a semantic visual-action tokenizer, which aligns visual representations with both semantics and actions, improving instruction following and action precision in subsequent policy learning.

Qihang Zhang, Lin Li, Luyao Zhang et al. · arXiv.org · 11 citations · ⚡3

Preprint Jul 2026

Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence

LingBot-Video is presented, a DiT-based video pretraining paradigm specifically tailored for embodied intelligence, and is contributed as the inaugural large-scale, open-source MoE video foundation model to the community, in a pioneering effort to bridge digital creativity and physical actuation.

Shuailei Ma, Jiaqi Liao, Xinyang Wang et al. · 7 citations · ⚡1