3 days ago · The rest of this paper is organized as follows: The most relevant works about emotion recognition in conversations, multimodal interaction and fusion, and graph ...

4 days ago · In this paper, we propose an Efficient Long-distance Latent Relation-aware Graph Neural Network (ELR-GNN) for multi-modal emotion recognition in conversations.

5 days ago · ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models ... Unified Hallucination Detection for Multimodal Large Language Models

4 days ago · [38] introduced a hierarchical GCN for learning graph embeddings from brain networks to predict brain disorders. This study uses rs-fMRI data to construct brain ...

5 days ago · This large-scale complex classification task can be divided into smaller sub-tasks according to the hierarchical structure. Further, the hierarchical structure ...

3 days ago · The fused feature is fed as an input to siamese capsule gorilla troops network which classifies the emotion states as valence, arousal, and trustworthiness.

1 day ago · Flexible Weight Tuning and Weight Fusion Strategies for Continual Named Entity Recognition ... Graph Embedding with Hierarchical Ontology Yuhuan Lu ...

4 days ago · The ChartQA benchmark evaluates an AI model's ability to understand and interpret various charts, including bar graphs, line graphs, and pie charts. Grok-1.5V ...

6 days ago · (Cuayáhuitl, 2009) was the first to propose Hierarchical Reinforcement Learning (HRL) based on the MAXQ algorithm for dialogue decomposition, making use of ...