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Found 4 papers, 1 papers with code
Demonstrating EMMA: Embodied MultiModal Agent for Language-guided Action Execution in 3D Simulated Environments
We demonstrate EMMA, an embodied multimodal agent which has been developed for the Alexa Prize SimBot challenge.
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.
Quality-agnostic Image Captioning to Safely Assist People with Vision Impairment
In this paper, we propose a quality-agnostic framework to improve the performance and robustness of image captioning models for visually impaired people.
Going for GOAL: A Resource for Grounded Football Commentaries
As the course of a game is unpredictable, so are commentaries, which makes them a unique resource to investigate dynamic language grounding.
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