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The limitations of language: AI models still lag behind humans in simple text comprehension tests
An international research team led by the URV has analyzed the capabilities of seven artificial intelligence (AI) models in understanding language and compared them with those of humans. The results, ...
Apple’s recent research paper, “GSM Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models,” challenges the perceived reasoning capabilities of current large ...
Apple researchers have released a study highlighting the limitations of large language models (LLMs), concluding that LLMs' genuine logical reasoning is fragile and that there is "noticeable variance" ...
A comprehensive search was conducted in PubMed, Web of Science, and OpenAlex for literature published between December 1, 2022, and December 31, 2024. Studies were included if they explicitly ...
A meta-analysis suggests that large language model-simplified radiology reports improve patient understanding and readability ...
An international research team led by the URV has analysed the capabilities of seven artificial intelligence (AI) models in understanding language and compared them with those of humans. The results ...
“I’m not so interested in LLMs anymore,” declared Dr. Yann LeCun, Meta’s Chief AI Scientist and then proceeded to upend everything we think we know about AI. No one can escape the hype around large ...
Microsoft’s new Phi-4, a 14-billion-parameter language model, represents a significant development in artificial intelligence, particularly in tackling complex reasoning tasks. Designed for ...
Scoping review finds large language models can support glaucoma education and decision support, but accuracy and multimodal limits persist.
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