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cs.CV2026
Context Tokens are Anchors: Understanding the Repetition Curse in dMLLMs from an Information Flow Perspective
Qiyan Zhao, Xiaofeng Zhang, Shuochen Chang +7
Recent diffusion-based Multimodal Large Language Models (dMLLMs) suffer from high inference latency and therefore rely on caching techniques to accelerate decoding. However, the ap…
cs.CV2025
DToM: Decider-Guided Dynamic Token Merging for Accelerating Diffusion MLLMs
Shuochen Chang, Xiaofeng Zhang, Qingyang Liu +1
Diffusion-based multimodal large language models (Diffusion MLLMs) have recently demonstrated impressive non-autoregressive generative capabilities across vision-and-language tasks…
cs.CV2025
Image Generation Based on Image Style Extraction
Shuochen Chang
Image generation based on text-to-image generation models is a task with practical application scenarios that fine-grained styles cannot be precisely described and controlled in na…