A recent position paper argues that many failures in large-scale multi-agent systems are due to concurrency control problems. These systems use langua...
FinSkillBench is an evaluation suite designed to assess whether language model agents can effectively use financial domain skills for investment manag...
A new survey examines the relationship between self-evolving AI agents and dynamic graph topology. It frames agent evolution as a process of transform...
Researchers have published a review on the emergence of agentic AI, which is gaining attention in various domains. The authors investigate the current...
Researchers have created a benchmark to test the ability of AI models to not only solve geometry problems but also draw accurate diagrams. The benchma...
A position paper argues that current AI leaderboards are biased against regions in the Global South due to a lack of institutional design. The authors...
Researchers have found that current safety alignment training for Large Language Models (LLMs) is heavily biased towards English. This can lead to ste...
Researchers have developed a new approach to diagnosing faults in power transformers using Dissolved Gas Analysis (DGA). The method combines Fuzzy Log...
Researchers conducted a scoping review of AI applications in rural healthcare to improve medication safety. They analyzed 12 studies from nine countri...
Researchers have introduced FraudBench, a benchmark designed to test the safety of policy-grounded banking agents. These agents interact with customer...
Researchers have developed a method to improve the detection of hate speech in Roman Urdu, a low-resource language used by South Asians on social medi...
Researchers have proposed a framework called RDFdL that combines knowledge graphs with differential equations to describe both static and dynamic beha...