Researchers have developed a system for robotic pick-and-place tasks using annotation-guided visual prompting. The approach uses bounding box annotati...
Researchers have proposed a new framework for open-vocabulary segmentation in remote sensing images. The framework, called RSKT-Seg, is designed to ad...
Researchers have developed ChannelFlow-Tools, an open-source pipeline for generating datasets of three-dimensional obstructed channel flows. The pipel...
A new framework called Future-Back Threat Modeling (FBTM) aims to improve cybersecurity by predicting potential threats from emerging technologies and...
Researchers have developed a framework for detecting deepfake audio and securing voice authentication systems. The system uses physics-based features ...
Researchers propose a new generative model called Cluster Aggregated GAN (CAG) for creating synthetic data of appliance patterns. The model addresses ...
Researchers have proven that evaluating complex Boolean queries over text fields is a computationally difficult problem. They introduced a new algorit...
Researchers have proposed a new approach to improve the performance of automatic speech recognition (ASR) systems powered by large language models. Th...
Researchers propose a framework called SCOPE for calibrating large language models (LLMs) used in pairwise evaluation. The goal is to reduce miscalibr...
Researchers have developed a framework to model and mitigate the effects of strategically reported data in epidemiology. They cast the interaction bet...
Researchers have improved document generation for electronics engineering by fine-tuning a model called Retrieval-Augmented Generation (RAG) with doma...
Researchers conducted three studies on human-AI collaboration. They found that different AI support strategies are effective for various tasks. In vis...