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Author

Hongdong Li

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Preprint Nov 2026

PATTS: Parallel-Aware Test-Time Scaling for Thought-Image Generation in Multimodal Discrete Diffusion LLMs

Test-time scaling (TTS) improves generative models by allocating additional inference-time computation to sampling, search, and verification. Existing image generation approaches, however, typically rank completed images or image-centric intermediate states. We study TTS for parallel multimodal discrete diffusion langu...

Ya-Song Dai, Zeeshan Hayder, David Ahmedt-Aristizabal et al. · 0 citations
Preprint Oct 2026

TokenRepel: Generating Diverse Image Sets Without Compromising Quality

We present an inference-time approach that enhances the visual diversity of image sets generated by text-to-image models, without compromising the average image quality. Our method leverages the intrinsic geometry of hidden representations in pretrained models to diversify images generated from the same prompt. First,...

Qing-Tao Yu, Zhen Wang, N. Lai et al. · 0 citations
Jul 2026

Probing Diffusion Denoising Dynamics for Contrastive Representation Learning

D$^3CL is established as a parameter-efficient adaptation framework for pretrained diffusion models, showing that noise-level contrastive learning can structure denoising representations for discriminative tasks while maintaining generative performance.

Yasong Dai, Zeeshan Hayder, David Ahmedt-Aristizabal et al. · 0 citations

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