Researchers have proposed a new framework called FreqDiff for predicting future facts in temporal knowledge graphs. This approach uses denoising and s...
A new AI framework called TRACE is proposed for breast ultrasound diagnosis. It uses structured radiology reports to guide the training process and en...
Researchers have developed a method to improve the performance of AI-generated images in terms of both visual fidelity and query retrieval. The approa...
Researchers have investigated the performance of Muon, a matrix-aware optimizer for large models. They found that while Muon improves training efficie...
Researchers have proposed a new method called STAR-OPD to improve the performance of aspect-based sentiment analysis (ABSA) quadruple extraction. This...
Researchers have developed a new method for controlling the magnetic configuration in an experimental setup called EXL-50U. The goal is to manage heat...
Researchers have created a benchmark called BC-Bench to evaluate how well artificial intelligence systems can perform tasks in a specific programming ...
Researchers have proposed a new framework called KREL for automatic medical coding, which involves assigning standardized ICD codes to clinical notes....
Researchers have developed a new framework for detecting deepfakes that provides interpretable justifications. The approach, called Feature-robust Aug...
Machine translation evaluation methods often rely on reference-based metrics, which can be biased and unfair to systems that preserve the source meani...
Researchers have proposed MentorPulse, a method for refreshing cross-model latent guidance in long-form generation tasks. This approach addresses the ...
Researchers have developed a new system for planning flight paths in complex environments. The Neural-Primitive system uses imitation learning to gene...