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Mehrtash Harandi

2 papers indexed

arxivcs.CV2026-07-03

Awakening Diffusion Transformers: Eliciting Stronger Generation and Understanding via Massive Activation Modulation

Chaofan Gan, Zicheng Zhao, Yuanpeng Tu, Xi Chen, Ziran Qin, Tieyuan Chen, et al.

Massive Activations (MAs) have been widely observed in Transformer-based models, yet their structure and functional roles in Diffusion Transformers (DiTs) remain insufficiently understood. In this work, we systematically analyze MAs in representative DiTs and find that they are s…

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arxivcs.CV2026-06-28

Reliability-Prioritized Fine-Grained Generation in Multimodal Large

Xiaomeng Fan, Wei Wu, Yuwei Wu, Zhi Gao, Shiyu Luo, Mingyang Gao, et al.

Multimodal large language models (MLLMs) are increasingly expected to generate fine-grained descriptions of visual content. However, we observe and theoretically show that generating fine-grained responses poses a reliability challenge, \textit{i.e.}, fine-grained generation is m…

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