From Abstract to Contextual: What LLMs Still Cannot Do in Mathematics

1. 1Identify the gap between LLMs' performance on benchmark math problems and real-world applications
2. 2Develop benchmarks like ContextMATH to test LLMs' contextual mathematical reasoning
3. 3Analyze the results to understand the limitations of LLMs in formulating mathematical cores from descriptive scenarios
4. 4Use this understanding to improve LLMs' performance in real-world math applications

ML researchers and mathematicians can benefit from understanding the limitations of LLMs in contextual mathematical reasoning to improve their applications, while software engineers and data scientists can use this knowledge to develop more reliable math-related tools

💡 LLMs' progress in benchmark math problems has not fully translated to reliable performance in real-world applications

💡 LLMs struggle with contextual math reasoning #LLMs #Mathematics