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...
Researchers have proposed a method for identifying implicit premises in argument graphs. The method uses large language models to generate intermediat...
Researchers analyzed how multilingual medical adaptation affects the internal representations of a popular automatic speech recognition (ASR) model ca...
Researchers propose a new framework for designing reward functions in reinforcement learning called Module Level Reward Evolution Framework (MLREF). T...
Researchers have proposed a new method for data augmentation called Learning-State-Aware Dynamic Generative Data Augmentation (LSADA). LSADA aims to i...
Researchers have developed a new method for launching denial-of-service (DoS) attacks against large reasoning models. The approach, called SMTrap, use...
Researchers have tested five different techniques for improving language model outputs at test time, known as test-time scaling. These methods involve...