Researchers have explored how to combine two AI techniques - uncertainty quantification (UQ) and foundation models - to improve semantic segmentation....
Researchers have investigated the impact of CutMix on semantic segmentation models' reliability and robustness. CutMix is a data augmentation strategy...
A new algorithmic framework called Budget-First Tariff Recommendation (BFTR) aims to help telecom operators offer more personalized and cost-effective...
Researchers have developed a method to fine-tune the MedSAM3 medical image segmentation model using Low-Rank Adaptation (LoRA) with as few as 10 annot...
Flama is an open-source Python framework for developing and deploying production-ready web APIs, machine learning services, and large-language-model a...
The authors argue that generative AI systems not only produce biased outputs but also encode the dominant culture's way of knowing as the default infr...
Researchers have introduced a new metric to evaluate the fairness of medical imaging models in diabetic retinopathy screening. The Explanation Consist...
SIDScope is a diagnostic tool for evaluating the quality of semantic-ID interfaces in generative recommendation systems. These interfaces connect item...
Researchers have studied the performance of majority voting in Large Language Models (LLMs) to improve answer accuracy. They found that this method ca...
Researchers have identified a new challenge in continual learning for deep neural networks: data co-observation. They found that when training data is...
Researchers have strengthened a proof that $O_2$ is a multiple context-free grammar (MCFG). This type of grammar is used in both computational linguis...
Researchers have investigated the phenomenon of 'hallucinations' in large language models, where the models generate outputs that are not based on the...