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...
A recent study benchmarked 14 large language models (LLMs) on their accuracy in cosmetic chemistry and skin health. The results showed poor performanc...
Researchers have developed a common measurement protocol for evaluating four open-source model routers across various tasks and benchmarks. The study ...
Researchers evaluated four state-of-the-art multimodal large language models (MM-LLMs) on their ability to provide consistent responses across text an...