Author

Xing-Wu Zhang

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Preprint Oct 2026

Is In-Domain Training Enough for Fine-Grained Industrial Anomaly Understanding?

A single multimodal large language model (MLLM) struggles to excel simultaneously at detection, localization, description, and reasoning in multimodal industrial anomaly understanding (MM-IAU). We show that in-domain training does not close this gap. On MMAD, a widely adopted MM-IAU benchmark, trained specialists reach...

Xing-Wu Zhang, Duan-Yang Du, Hui-Ling Zhu et al. · 0 citations

Preprint Sep 2026

In-Context Robot Learning with VLM Agents

GPT-Policy is introduced, a general-agent framework for in-context robot learning that integrates a context compiler that preserves task-relevant visual transitions, a VLM that proposes robot-tool actions, and a constrained controller that verifies and executes each action and reports its outcome.

Dong-Zhou Cheng, Taoran Yi, Ye Fang et al. · 15 citations · ⚡4