#multimodal learning
39 papers · 1 filter
CoLAS: Multimodal Corroboration of Latent Asset Signals for Financial Trading
Yanzheng Jin, Pengyang Shao, Xiaohao Liu +3
CoLAS is a multimodal learning framework that extracts trading signals by identifying and reinforcing shared information across price data, news, and sentiment, improving robustnes…
FedOGL: Combating Catastrophic Forgetting in Federated Open-World Multimodal Graph Learning
Zekai Chen, Haodong Lu, Shihao Li +5
The paper introduces FedOGL, a framework for federated multimodal graph learning that mitigates catastrophic forgetting by preserving semantic and structural memory through client-…
DualAnchor: Preserving Language Priors and Improving Lexical Fidelity in Gloss-Free Sign Language Translation
Hongbin Zhang, Junhao Liu, Xuefeng Bai +3
The paper introduces DualAnchor, a training framework for gloss-free sign language translation that preserves large language model priors with token-level prior anchoring and enhan…
Context-Informed Ship Trajectory Prediction via Conditional Attention
Yuan Guan, Chandler Squires, Timothy Hu +1
The paper introduces the Conditional Informer, a Transformer-based model that predicts ship trajectories by explicitly conditioning vessel states on environmental contexts using a…
Regularizing modality contribution drift in multimodal continual learning
Zhen Zhang, Jielei Chu, Bin Liu +1
The paper identifies a decision-level shift called Modality Contribution Drift in multimodal continual learning and introduces a regularization method (CMCDR) that preserves modali…
Dual-Path LLM Reasoning for Multimodal Few-Shot Knowledge Graph Completion
Jinlan Liu, Zhiying Tu, Yongchao Xing +5
The paper introduces DuPLeR, a dual-path reasoning framework that combines large language model priors with multimodal signals to improve few-shot and zero-shot knowledge graph com…