Researchers have proposed a new method to detect and prevent unsafe outputs from large language models (LLMs). Their approach uses a dynamical systems...
Researchers have developed a new way to represent scientific data in a format that's usable by artificial intelligence agents. The Scientific Data Ski...
Researchers have developed a benchmark called StateMemBench to test the ability of memory systems in artificial intelligence agents to track changes i...
Researchers propose a three-stage pipeline to improve smart contract vulnerability detection using Large Language Models (LLMs). The framework address...
Researchers propose a new approach called QDOS (Quality-Diversity Offline Skill learning) for improving the performance of reinforcement learning poli...
Researchers have proposed a new evaluation and optimization method for large language model (LLM)-based social simulation. The current approach to eva...
Researchers have proposed a new framework called CAMA to address a problem in multi-agent systems where memories from different agents can be correlat...
Researchers have developed a framework called SafeBranch to improve the safety of embodied agents that perform tasks in complex environments. These ag...
Researchers have developed GenMatch, an end-to-end generative matching framework for ride-hailing platforms. The framework addresses the limitations o...
Researchers have developed a new method called TT-Net that uses tensor-train decomposition to improve image denoising in conditional GANs. This approa...
Researchers investigated whether large language models (LLMs) can be used as a standalone acquisition policy for materials optimization. They tested f...
Researchers propose a framework for building the next generation of AI agents that can integrate large language models with knowledge bases and reason...