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 ...
As great as generative AI looks, researchers at Harvard, MIT, the University of Chicago, and Cornell concluded that LLMs are not as reliable as we believe. Even a big company like Nintendo did not ...
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 systematic review of fourteen studies finds large language models perform well on structured infection control tasks but ...
Dublin, May 28, 2026 (GLOBE NEWSWIRE) -- The "Strategic Intelligence: Deep Dive into World Models" report has been added to ResearchAndMarkets.com's offering. This report provides an introduction to ...
Large language models (LLMs) with very long context windows have been making headlines lately. The ability to cram hundreds of thousands or even millions of tokens into a single prompt unlocks many ...
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 ...
The hype around generative AI (GenAI) is undeniable. Tools like ChatGPT have captivated the public imagination, demonstrating an impressive ability to generate human-like text, create content and ...
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