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Author

Liangliang Zhao

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#artificial intelligence Review Open access Oct 2026

Reinforcement Learning-driven Diffusion Models: Language, Vision, and Beyond.

Diffusion models (DMs) have steadily demonstrated outstanding performance in high-fidelity, controllable generation across diverse scenarios, following the "pretraining-finetuning" paradigm established in LLMs. Despite these advances, conventional DMs still face critical limitations in sophisticated reasoning, autonomo...

Zhi-Yuan Ma, Jia-Bao Wei, Tian-Yu Wang et al. · 0 citations
Preprint Aug 2026

Towards Physics-Faithful Generation of Scientific Diagrams

Princigram shows that explicit physics-structured supervision improves the physical faithfulness of generated scientific diagrams, and curate and structurally annotate 4.3 million physics images, carry expert-level annotation, and adapt a unified multimodal backbone.

Ming-Hui Zhang, Jinxin Shi, Yi-Fan Chang et al. · 0 citations

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