Researchers have developed NeuroStrata, a framework for analyzing brain activity using electroencephalography (EEG) signals. Unlike traditional approa...
Researchers propose ExpertIVS, a framework for simulating individual value systems in large language models. The approach uses sociological expert age...
Researchers have created a benchmark called Clarify-Then-Search to evaluate how well large language models (LLMs) can improve the results of deep sear...
Researchers have developed a system to automatically generate research ideas by analyzing paper knowledge graphs. The system uses category theory to r...
Researchers have reviewed the current state of hadith computational science, which involves using large language models to analyze and interpret Islam...
Researchers have developed a framework to analyze speeches from Sri Lankan parliamentary debates. The debates are in three languages: Sinhala, Tamil, ...
Researchers have developed a hybrid edge cloud digital twin framework for managing poultry facilities. The system integrates sensors, state estimation...
Researchers have developed a framework called ASTAR that can automatically create standardized reporting templates for radiology reports. This is done...
Researchers from Carson Rodrigues and Oysturn Vas claim that large language models (LLMs) can replace fine-tuned natural language understanding (NLU) ...
Researchers have developed BridgeGuard, a system for automating bridge inspections in the US. The system uses a combination of vector search and struc...
Researchers have proposed a new method for controlling emotions in language models called VA-DPO. This approach allows for more precise emotional expr...
Researchers have developed a new system called EditPPT to automate the editing of PowerPoint presentations. Unlike existing systems that rely on ideal...