Researchers have studied how coding agents manage coherence debt in repository-scale tasks. They model this as reconstructing a coupled-fact graph, wh...
A new framework has been proposed to evaluate the reliability of using large language models (LLMs) as substitutes for human experts in security surve...
Researchers from various institutions developed a seven-weekend AI storytelling program for Black girls aged 10-12. The program was grounded in Afrofu...
CityReal is a framework for simulating human behavior in cities using large language models. Unlike previous methods that rely on few-shot prompting, ...
Researchers have developed QuantumNovelty, an open-source language agent that can generate and review quantum science papers and patents. The system u...
Researchers from various fields have come together to address a pressing issue at the intersection of clinical medicine, AI ethics, and Islamic jurisp...
Researchers have developed ComNetX, a framework for dynamic community detection in graphs. It uses hierarchical adaptation to update only the affected...
Researchers have developed a personalized AI tutoring system that uses reinforcement learning to adapt the difficulty level of practice problems based...
Researchers have found that three large language models (LLMs) used in financial advisory systems often reproduce religious bias. The study analyzed 4...
Ghana's National Artificial Intelligence Strategy for 2025-2035 has been analyzed using a new framework that focuses on education. The strategy is amb...
Researchers have developed a new method for estimating the average distance between nodes in large-scale networks. They tested two approaches: graph s...
Researchers have developed a new approach to patent prior-art retrieval called Sparse Coverage. This method maps local spans of text in patents to a s...