Summary of Mathodyssey: Benchmarking Mathematical Problem-solving Skills in Large Language Models Using Odyssey Math Data, by Meng Fang et al.
MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data
by Meng Fang, Xiangpeng Wan, Fei Lu, Fei Xing, Kai Zou
First submitted to arxiv on: 26 Jun 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper investigates the capabilities of large language models (LLMs) in solving mathematical problems using a newly developed “MathOdyssey” dataset. The dataset includes diverse math problems at high school and university levels, designed to rigorously test LLMs’ problem-solving abilities across various subject areas. The authors aim to contribute to improving AI’s complex mathematical problem-solving capabilities by providing the dataset as a resource. Benchmarking is conducted on open-source models like Llama-3 and DBRX-Instruct, as well as closed-source GPT and Gemini models. Results show that while LLMs excel at routine tasks, they struggle with Olympiad-level problems and complex university-level questions. The analysis highlights a narrowing performance gap between open-source and closed-source models, but substantial challenges remain. This study emphasizes the ongoing need for research to enhance LLM’s mathematical reasoning capabilities. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about how well computers can solve math problems. Right now, these computers are very good at understanding language, but they struggle with actually doing math. The researchers created a special set of math problems called “MathOdyssey” to test the computers’ abilities. They compared different types of computer models and found that while some were good at simple math, others struggled with harder problems. The study shows that there is still much work to be done to improve computers’ ability to solve complex math problems. |
Keywords
» Artificial intelligence » Gemini » Gpt » Llama
