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Ke Zhang

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#artificial intelligence Preprint Sep 2026

Calibrate the Decisions That Change the Future: On-Policy Post-Training Quantization for Multimodal Large Language Models

Post-training quantization (PTQ) lowers deployment cost for multimodal large language models, but calibration typically reconstructs fixed sequences with local objectives. This overlooks autoregressive feedback: a quantization-induced token change redirects the prefix and changes future states. Yet on-policy coverage a...

Wen-Xiao Fan, Jing-Ling Fu, Li-Chen Ma et al. · 0 citations
Preprint Aug 2026

TransAnyText: Translating Arbitrary Text in E-commerce Images via Structured Visual Generation

TransAnyText, a structured visual code framework that reformulates image text translation as generating renderable HTML patches from source images and target languages, is introduced, providing an effective, controllable, and editable solution for cross-border e-commerce image translation.

Xiao-An Liu, Li-Chen Ma, Zipeng Guo et al. · 0 citations

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