Researchers tested AI benchmarks and found that its grading wasn’t accurate.
Researchers tested 21 frontier large language models on 29 stepwise MSD Manual clinical vignettes and found that, although many models performed well on final diagnosis, they remained much weaker at ...
Background/aims Ocular surface infections remain a major cause of visual loss worldwide, yet diagnosis often relies on slow ...
Today, MLCommons ® announced new results for its industry-standard MLPerf ® Inference v6.0 benchmark suite. This release includes several important advances that ensure the benchmark suite tests ...
This study introduces MathEval, a comprehensive benchmarking framework designed to systematically evaluate the mathematical reasoning capabilities of large language models (LLMs). Addressing key ...
They call it the "mirage effect." The post Frontier AI Models Are Doing Something Absolutely Bizarre When Asked to Diagnose ...
Despite increasing use of artificial intelligence (AI) in health care, a new study led by Mass General Brigham researchers ...
New research finds that forcing Large Language Models to give shorter answers notably improves the accuracy and quality of ...