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Zi-Jian Wang

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Preprint Sep 2026

Train Together or Merge Later? Unifying VLA Experts via a Shared Action Interface

Co-training offers a straightforward way to build a multi-task vision-language-action (VLA) policy, but can fall short of the performance achieved by training each task independently. The challenge is to retain these task-specific gains in a multi-task policy without joint post-training. Combining independently trained...

Zhi-Zhen Zhang, Yu-Xia Fu, Zi-Jian Wang et al. · 0 citations
Preprint Sep 2026

Tracing the Evidence: Faithful Token Attribution Through Vision-Language Reasoning

Large vision-language models (LVLMs) exhibit strong reasoning capabilities, yet the visual and textual evidence supporting the generated responses remains difficult to identify. Faithful token attribution explains an LVLM's response by assigning scores that rank image and prompt tokens by how much the model relies on t...

Bo-Wen Yuan, Danny Wang, Rui-Hong Qiu et al. · 0 citations

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