AI
Towards Quantifying Benchmark Optimization in ASR Models
Researchers have developed a method to quantify how much Automatic Speech Recognition (ASR) models a...
AI
Designing Human-mediated AI Guidance: Ready Together for Personalized Family Emergency Preparedness
Researchers have developed a framework for human-mediated AI guidance, where a more knowledgeable pe...
AI
Open-Vocabulary 3D Object Detection with Co-Distillation Discovery and Dual Guidance Robust Training
Researchers propose a new framework for open-vocabulary 3D object detection that improves both the d...
AI
An Inclusive and Lightweight Approach to Federated Continual Learning for Cultural Heritage
Researchers have proposed a new approach to Federated Continual Learning (FCL) called FedCurv-DR. Th...
AI
EchoCoT: Extracting Hidden Chain-of-Thought from Large Reasoning Models
Researchers have developed EchoCoT, a method that can extract hidden chain-of-th...
AI
Let's Scale Step by Step: Compute-Efficient Hyperparameter Transfer for Large-Scale Mixture-of-Experts
Researchers have proposed a method to optimize hyperparameters for large-scale M...
AI
SABET-QA: Temporal Knowledge Graph Question Answering
Researchers have developed a new framework called SABET-QA for answering questio...
AI
Evidence-Gated Task and Motion Planning with Vision-Language Models
Researchers have proposed a framework called Evidence Acquisition and Feasibilit...