Author

Zehong Wang

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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

#natural language process... Preprint Aug 2026

The Collaboration Tax: How Much LLM Multi-Agent Systems Pay to Coordinate

The collaboration tax is formulated as the team-decentralisation loss of a two-player cooperative game with private information, with two propositions characterising its sign and its equivalence to a max-superadditivity violation.

Wei-Xiang Sun, Ze-Hong Wang, Hong Huang et al. · 1 citation