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Li-Jun Wu

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Preprint Oct 2026

MMVistaReason: Toward Open-Data and Post-Training Recipes for Multimodal Reasoning

Open multimodal reasoning models have benefited from large-scale reasoning supervision, yet reliable post-training remains challenging due to uneven data quality, inefficient supervision construction, imbalanced difficulty, and cross-domain interference. We introduce MMVistaReason (MVR), an open-data post-training reci...

Jue-Kai Lin, Hong-Lin Lin, Yu-Qian Yuan et al. · 0 citations
#artificial intelligence Preprint Aug 2026

SPARK: Skeleton-Guided Reasoning Synthesis from Large-Scale Scientific Literature

SPARK (Scientific Paper Abstracted Reasoning sKeleton), a paper-oriented synthesis framework built on Sci-Base, is introduced, a scientific reasoning dataset with substantially higher difficulty and diversity than existing resources and consistently outperforms existing scientific reasoning datasets.

Yu Li, Wei Li, Xin Gao et al. · 0 citations

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