Author

Shi-Yi Du

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#artificial intelligence Preprint Sep 2026

UniEvo-VL: An On-policy Self-Distillation Training Recipe for Multimodal Model Self-improvement

Modern multimodal models bring generation and understanding into a single unified system, which enables them to provide and learn from their own feedback. Motivated by this unified capacity, we introduce UniEvo-VL, a self-evolving framework for multimodal models to learn from this constructive self-correction feedback...

Fang Wu, Dan-Lei Xing, Yan-Jie Huang et al. · 0 citations

#artificial intelligence Jun 2026

SpecAlign: Efficient Specification-Grounded Alignment of Large Language Models via Synthetic Data

This paper proposes specification-grounded alignment, a new alignment paradigm that treats provider-authored model specifications as the primary alignment target rather than abstract principles or static benchmarks, and introduces SpecAlign, a framework that synthesizes alignment data directly from specification docume...

Wenjie Wang, Yue Huang, Zheng-Qing Yuan et al. · arXiv.org · 4 citations