Researchers have developed SKILL, a system that optimizes logic synthesis using a combination of large language models and reinforcement learning. SKI...
OGX is an open-source AI application server and Python library that allows developers to build agentic AI applications without changing their code. It...
Researchers have developed a unified framework called Euclid-Omni for tackling plane geometry problems. This system combines formal geometry with larg...
Researchers have developed an agentic framework using rules and Large Language Models (LLMs) to improve document layout analysis in plant science. The...
Researchers have found that errors in multi-agent language models can spread and become more difficult to detect as they pass through the pipeline. Th...
Researchers have conducted a survey to identify safe methods for Large Language Model (LLM) agents. They analyzed 38 studies and found that current ap...
Medical AI has made significant strides in diagnosis and prognosis, but its understanding of treatment is lacking. Instead of relying on human opinion...
Researchers at various institutions have created a benchmark to test the performance of large language models (LLMs) in temporal legal reasoning. They...
Researchers have proposed a framework for ensuring that large language model (LLM) agents negotiate rationally when interacting with each other. The f...
Researchers have developed a benchmark called MecEng to evaluate the capabilities of Large Language Models (LLMs) in mechanical engineering and spatia...
Researchers have developed a new approach to evaluating large language models (LLMs) that provide parenting advice. The method uses a multi-dimensiona...
Researchers have developed CacheScout, a system that optimizes the performance of multi-agent large language model (LLM) serving. The system learns ho...