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Found 7 papers, 3 papers with code
Bridging the Gap between Recognition-level Pre-training and Commonsensical Vision-language Tasks
Large-scale visual-linguistic pre-training aims to capture the generic representations from multimodal features, which are essential for downstream vision-language tasks.
NLP in Human Rights Research: Extracting Knowledge Graphs about Police and Army Units and Their Commanders
In this paper we explore the use of an NLP system to assist the work of Security Force Monitor (SFM).
3D-MoE: A Mixture-of-Experts Multi-modal LLM for 3D Vision and Pose Diffusion via Rectified Flow
3D vision and spatial reasoning have long been recognized as preferable for accurately perceiving our three-dimensional world, especially when compared with traditional visual reasoning based on 2D images.
A Survey on Vision-Language-Action Models for Embodied AI
To this end, we present the first survey on VLAs for embodied AI.
VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder
The natural language generation domain has witnessed great success thanks to Transformer models.
Graph Component Contrastive Learning for Concept Relatedness Estimation
As it is intractable for data augmentation to fully capture the structural information of the ConcreteGraph due to a large amount of potential concept pairs, we further introduce a novel Graph Component Contrastive Learning framework to implicitly learn the complete structure of the ConcreteGraph.
NLP in Human Rights Research -- Extracting Knowledge Graphs About Police and Army Units and Their Commanders
In this working paper we explore the use of an NLP system to assist the work of Security Force Monitor (SFM).
