AI
An Information-Flow Perspective on Explainability Requirements: Specification and Verification
Researchers from the University of Freiburg propose a new approach to explaining AI system behavior....
AI
ExtrinSplat: Decoupling Geometry and Semantics for Open-Vocabulary Understanding in 3D Gaussian Splatting
Researchers have developed a new framework called ExtrinSplat for open-vocabulary understanding in 3...
AI
HiViS: Hiding Visual Tokens from the Drafter for Speculative Decoding in Vision-Language Models
Researchers have proposed a framework called HiViS to improve the efficiency of Vision-Language Mode...
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 ...
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 ca...
AI
LLM-Specific Utility for Retrieval-Augmented Generation
Researchers have developed a new benchmark to study how well-retrieved passages ...
AI
A New Type of Adversarial Examples
Researchers have proposed a new type of adversarial examples that are significan...