Leveraging Visual Signals for Robust Token-Level Uncertainty in Vision-Language Generation 事件

Leveraging Visual Signals for Robust Token-Level Uncertainty in Vision-Language Generation arXiv:2605.27136v1 Announce Type: new Abstract: Uncertainty quantification (UQ) remains a critical challenge in Large Vision Language Models (LVLMs) for reliable predictions and real-world deployment. However, most existing methods are adapted from the LLM literature and primarily focus on the language modality, leaving the contribution of visual information to LVLM uncertainty largely underexplored. In t