1 citations · 2 across the 5 of their papers we have counts for
4 papers · 1 filter
PerturbBridge: Direct Phenotypic Supervision for Cellular Perturbation Generation
Yucheng Yang, Xiaoxiao Sun, Huangqingbo Sun +3
Virtual cell models should capture phenotypes induced by specific perturbations. However, image-based models are typically trained and evaluated to match real-image distributions,…
DataComp-VLM: Improved Open Datasets for Vision-Language Models
Matteo Farina, Vishaal Udandarao, Thao Nguyen +33
Building performant Vision-Language Models (VLMs) requires carefully curating large-scale training datasets, yet the community lacks systematic benchmarks for evaluating such curat…
Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation
Yuhui Zhang, Yuchang Su, Yiming Liu +9
The rapid development of vision language models (VLMs) demands rigorous and reliable evaluation. However, current visual question answering (VQA) benchmarks often depend on open-en…
Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models
Elaine Sui, Xiaohan Wang, Serena Yeung-Levy
Advancements in vision-language models (VLMs) have propelled the field of computer vision, particularly in the zero-shot learning setting. Despite their promise, the effectiveness…