Researchers have developed CTIFoundry, a framework for creating a structured corpus of cyber threat intelligence data. This corpus is designed to be c...
Large language models are being developed as decision-making agents, but they struggle with a key challenge: reasoning about preferences when informat...
Researchers propose a framework called candidate-fate accounting to improve transparency in automated pipeline search for industrial sensor diagnostic...
Researchers have developed a multi-agent system called Sanyu Studio to explore how generative AI can be used in art-historical narrative construction....
A new method called Reverse-Turn Policy Optimization (RTPO) has been proposed to stabilize the training of reinforcement learning models. These models...
Researchers have developed a diagnostic tool to evaluate the performance of 'judge gates' in skill optimization. A judge gate is a machine learning mo...
A new multi-agent platform for automated enterprise analytics has been proposed. The platform uses five AI agents to process natural language queries,...
Researchers have developed an automatic metric evaluator called EvalCEGAR that can write its own evaluation operators. This system uses a pool of smal...
Researchers have developed a new method called Possible-World Atom-Link Formalization (PWAL) to select the missing component in an argument. This is d...
Researchers have developed a method to make AI-powered leak diagnosis in water distribution networks more accountable. They propose using 'verifiable ...
Researchers have developed a system called ORBITER for making decisions in last-mile delivery scenarios. ORBITER uses language models (LLMs) to reason...
Researchers have proposed a new method called SkillGate to improve the performance of long-horizon agents in decision-making tasks. These agents use s...