Official Implementation of ICLR 2024 Spotlight paper SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training. python train.py --loss_type CLIP \ --batch_size 256 \ ...

Many programming languages include libraries to do more complicated math. You can do statistics, numerical analysis or handle big numbers. One topic many programming languages have difficulty with is ...

While many chemical problems can be solved by a "longhand" pen-and-paper approach, several advanced concepts rely on mathematical skills (e.g., calculus, linear algebra, differential equations, ...

A critical question about Large Language Models (LLMs) is whether their apparent deficiency in mathematical reasoning is inherent, or merely a result of insufficient exposure to high-quality ...

1 Management and Decision Engineering Laboratory (MDE-Lab), Department of Financial and Management Engineering, School of Engineering, University of the Aegean, Chios, Greece 2 School of Economic ...

Numerous studies have assessed the cognitive correlates of performance in mathematics, but little research has been conducted to systematically examine the relations between visual perception as the ...

Large language models, like GPT-4 and PaLM 2, have evolved into a crucial part of contemporary AI systems, revolutionizing their grasp of natural language processing and changing various sectors.