GSM-symbolic: Understanding the limitations of mathematical reasoning in large language models
Recent advances in large language models (LLMs) have sparked interest in their formal reasoning capabilities, particularly in mathematics. The GSM8K ...
Recent advances in large language models (LLMs) have sparked interest in their formal reasoning capabilities, particularly in mathematics. The GSM8K ...
Earth City, MO. — ORIGO Educationa leading provider of primary mathematics solutions for preschool through sixth grade, is pleased to ...
Large linguistic models (LLMs) have demonstrated remarkable reasoning capabilities across a number of domains. But do they also possess metacognitive ...
A key factor for ai research in mathematical reasoning is that it can further increase models' understanding and problem-solving capabilities ...
Large language models (LLMs) and their multimodal counterparts (MLLMs) have made significant strides in advancing artificial general intelligence (AGI) across ...
Large language models (LLMs) face a critical challenge in their training process: the looming shortage of high-quality Internet data. Predictions ...
Artificial neural networks (ANNs) show a notable pattern when trained on natural data, regardless of the exact initialization, data set, ...
The integration of artificial intelligence into mathematical reasoning marks a fundamental advance in our quest to understand and use the ...
Mathematical reasoning in artificial intelligence represents a frontier that has long challenged researchers and developers. While effective for specific tasks, ...
Mathematical reasoning, part of our advanced thinking, reveals the complexities of human intelligence. It involves logical thinking and specialized knowledge, ...