AI
SLogic: Subgraph-Informed Logical Rule Learning for Knowledge Graph Completion
Researchers have proposed a new framework called SLogic for knowledge graph completion. Unlike exist...
AI
RSTGCN: Railway-centric Spatio-Temporal Graph Convolutional Network for Train Delay Prediction
Researchers have developed a new model called RSTGCN to predict train delays at railway stations. Th...
AI
GraphMed-LT: Patient-Specific Graph Memory with Latent Clinical Thought Refinement for Multi-Turn Medical Conversations
Researchers have developed a new approach to multi-turn medical conversations called GraphMed-LT. Th...
AI
LLM-Specific Utility for Retrieval-Augmented Generation
Researchers have developed a new benchmark to study how well-retrieved passages help large language ...
AI
A New Type of Adversarial Examples
Researchers have proposed a new type of adversarial examples that are significan...
AI
Mitigating Sample-Level Imbalance via Probabilistic Separation for Adaptive Multimodal Fusion
Researchers have proposed a new framework to address modality imbalance in multi...
AI
One Request, Multiple Experts: LLM Orchestrates Domain Specific Models via Adaptive Task Routing
Researchers have developed a system called ADN-Agent to manage complex energy di...
AI
Radial Compensation: The Inverse Base-Distribution Problem for Chart-Based Generative Models on Riemannian Manifolds
Researchers have identified a problem with how generative models are applied to ...