Researchers have identified a problem with large language models processing electronic health records (EHRs), where information in the middle of long ...
Researchers have found that large language models (LLMs) are highly sensitive to minor changes in prompts. They analyzed a dataset of 132,000 prompt v...
Researchers propose a new approach to building industrial agents, called OneModel. Unlike traditional modular systems that break down complex tasks in...
Researchers have developed a method to detect bias in mental health natural language processing (NLP) models. They propose the Divergence Hypothesis, ...
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...