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Kuluhan Binici

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#artificial intelligence Conference Open access Sep 2025

Efficient Text-to-Image Generation: An Adaptive Step Schedule Controller for Diffusion Models

This work proposes an adaptive diffusion controller that dynamically adjusts the number of steps to generate high-quality images efficiently, without additional model training, by leveraging a mixture of step schedules with varying step sizes.

Kuluhan Binici, Cihan Acar, Shivam Aggarwal et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Visual Attention Faithfulness in Vision-Language Models is Heterogeneous

Whether attention weights faithfully reflect model reasoning has been actively debated in NLP, yet this question remains largely unexplored for the visual modality in Vision-Language Models (VLMs). We address this gap through causal perturbation analysis on current VLMs, evaluating both the comprehensiveness and suffic...

Xu-Rui Song, Wei-Shi Wang, Zhong-Qi Yue et al. · 2 citations

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