Researchers introduced SPANUQ, a lightweight probe for span-level uncertainty quantification in large language models, achieving 10-20x faster inference than sampling-based methods while outperforming…
Researchers introduced RT-SFOD, a new object detection method that improves speed and accuracy by building on YOLOv10 and using dual-head pseudo-label fusion and multi-scale feature diversification. T…
A new dissertation proposes three novel architectures to improve machine intelligence across vision-language tasks, including image captioning, visual dialog, and interactive instruction following. Th…
A team of researchers improved a DETR-based fusion transformer for the MaCVi 2026 Vision-to-Chart data association challenge by adding a dedicated MLP, QueryMLP, to explicitly predict a buoy's waterli…