arXiv AI June 16, 2026 By Leon Liangyu Chen, Haoyu Ma, Zhipeng Fan, Ziqi Huang, Animesh Sinha, Xiaoliang Dai, Jialiang Wang, Zecheng He, Jianwei Yang, Chunyuan Li, Junzhe Sun, Chu Wang, Serena Yeung-Levy, Felix Juefei-Xu

UniT: Unified Multimodal Chain-of-Thought Test-time Scaling

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arXiv:2602. 12279v2 Announce Type: replace-cross Abstract: Unified models can handle both multimodal understanding and generation within a single architecture, yet they typically operate in a single pass without iteratively refining their outputs.

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arXiv Machine Learning

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llms diffusion reinforcement-learning efficiency multimodal benchmarks

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diffusion multimodal benchmarks safety

arXiv Computation and Language

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llms agents fine-tuning multimodal benchmarks

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llms computer-vision multimodal benchmarks safety

arXiv AI

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