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cs.AI2025
MaLoRA: Gated Modality LoRA for Key-Space Alignment in Multimodal LLM Fine-Tuning
Xinhan Zheng, Huyu Wu, Xueting Wang +2
Multimodal large language models (MLLMs) exhibit a pronounced preference for textual inputs when processing vision-language data, limiting their ability to reason effectively from…
cs.LG2025
Diffusion Models as Dataset Distillation Priors
Duo Su, Huyu Wu, Huanran Chen +4
Dataset distillation aims to synthesize compact yet informative datasets from large ones. A significant challenge in this field is achieving a trifecta of diversity, generalization…
cs.CV2025
Multi-Task Dense Prediction Fine-Tuning with Mixture of Fine-Grained Experts
Yangyang Xu, Xi Ye, Duo Su
Multi-task learning (MTL) for dense prediction has shown promising results but still faces challenges in balancing shared representations with task-specific specialization. In this…