Hyperbolic and Evidence-Prioritized Experts for Large Vision-Language Models 事件

Hyperbolic and Evidence-Prioritized Experts for Large Vision-Language Models arXiv:2606.00275v1 Announce Type: new Abstract: Large Vision-Language Models (LVLMs) have demonstrated impressive performance on multimodal tasks through scaled architectures and extensive training. Recent studies introduce Mixture of Experts (MoE) into LVLMs for improved computational efficiency. However, existing MoE approaches treat visual and linguistic modalities with symmetric architectures, overlooking the inher