Researchers have developed a new framework called MuseCPEval for evaluating music editing systems' ability to preserve musical context. This is import...
Researchers have developed a framework called TrojanGYM to detect and insert hardware Trojans in digital designs. The framework uses large language mo...
Researchers have developed a new framework called FiLoRA that allows them to control how multimodal foundation models rely on different internal featu...
A new method for estimating wireless channel information in multiple-input multiple-output (MIMO) systems is proposed by researchers. The approach, ca...
Researchers have developed a new method for training symbolic music language models to understand the context of entire compositions rather than just ...
Researchers have proposed a method to translate real-world arguments into logical formulas. Their pipeline uses two large language models to identify ...
A new framework has been proposed to create a navigable map of datasets in Engineering Design and Systems Engineering (EDSE). This map aims to address...
Researchers propose a new method for allocating resources to suppress wildfires, which is modeled as a complex optimization problem on a graph. They p...
Researchers have created a benchmark to test how accurately Vision-Language Models (VLMs) and humans follow their own decision-making rules. The Grade...
Researchers have developed a method called AutoOR to help large language models (LLMs) automatically translate complex optimization problems into a fo...
Researchers have developed MedStruct-S, a new benchmark for evaluating AI models' ability to extract semi-structured information from clinical reports...
Researchers have developed a system for extracting relevant information from optical character recognition (OCR) clinical reports. The system uses a t...