Search Results for author:
Found 2 papers, 1 papers with code
Lost in Space: Probing Fine-grained Spatial Understanding in Vision and Language Resamplers
In this paper, we use \textit{diagnostic classifiers} to measure the extent to which the visual prompt produced by the resampler encodes spatial information.
Multitask Multimodal Prompted Training for Interactive Embodied Task Completion
Interactive and embodied tasks pose at least two fundamental challenges to existing Vision & Language (VL) models, including 1) grounding language in trajectories of actions and observations, and 2) referential disambiguation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
