Abstract: The advancement of mathematical reasoning in Large Language Models (LLMs) is fundamentally constrained by the scarcity of highly complex, Olympiad-level training data. To address this ...

AUSTIN, Texas, March 26, 2025 /PRNewswire/ -- Imandra Inc., a pioneer in neurosymbolic AI and automated logical reasoning, today announced the launch of CodeLogician, a cutting-edge LangGraph agent ...

A team of Apple researchers has released a paper scrutinising the mathematical reasoning capabilities of large language models (LLMs), suggesting that while these models can exhibit abstract reasoning ...

GSM-Symbolic enables more controllable evaluations, providing key insights and more reliable metrics for measuring the reasoning capabilities of models. Trending Photos New Delhi: A team of Apple ...

While DeepSeek-R1 has significantly advanced AI’s capabilities in informal reasoning, formal mathematical reasoning has remained a challenging task for AI. This is primarily because producing ...

Large Language Models (LLMs), excel in natural language understanding, but their capability for complex mathematical reasoning with an amalgamation of structured tables and unstructured text is ...

Math is more than a school subject—it’s the engine behind scientific discovery, driving advances in everything from climate modeling to AI. At Microsoft Research Asia, senior researcher Xian Zhang is ...