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cs.CV2026
LLaVAFlow: Preserving Latent Alignment Flow for Parameter-Efficient Multimodal Fine-Tuning
Muyao Yuan, Muyan Jiao, Jiangyong Ying +5
While Multimodal Large Language Models (MLLMs) exhibit strong generalization, visual instruction tuning for downstream tasks inevitably causes catastrophic forgetting, impairing ov…
cs.IR2026
STAR: Structured Tokenization and Target-Aware Interest Representation for PCVR Prediction
Yimeng Xu, Ruihao Zhang, Yingqi Song +2
Post-click conversion rate (PCVR) prediction is a core ranking task in industrial recommender systems. Modern ranking models must jointly capture heterogeneous non-sequential featu…
cs.CV2026
DepthArb: Training-Free Depth-Arbitrated Generation for Occlusion-Robust Image Synthesis
Hongjin Niu, Jiahao Wang, Xirui Hu +4
Text-to-image models often struggle to synthesize correct occlusion relationships among multiple objects, especially in densely overlapping regions. Many training-free layout-guide…