Summary of Solving For X and Beyond: Can Large Language Models Solve Complex Math Problems with More-than-two Unknowns?, by Kuei-chun Kao et al.
Solving for X and Beyond: Can Large Language Models Solve Complex Math Problems with More-Than-Two Unknowns?
by Kuei-Chun Kao, Ruochen Wang, Cho-Jui Hsieh
First submitted to arxiv on: 6 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Machine Learning (cs.LG)
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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 The paper introduces a novel benchmark, BeyondX, to challenge Large Language Models (LLMs) in solving math problems with multiple unknowns. Existing LLMs struggle with such problems, with a performance drop of up to 70% observed in GPT-4. To address this limitation, the authors propose the Formulate-and-Solve strategy, a generalized prompting approach that effectively handles problems with an arbitrary number of unknowns. The paper’s findings reveal that this strategy not only improves LLM performance on BeyondX but also provides insights into their computational limits when faced with complex mathematical challenges. Keywords: Large Language Models, math problems, multiple unknowns, BeyondX benchmark, Formulate-and-Solve strategy. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Large Language Models are super smart at solving math problems, just like humans! But they often struggle with tricky problems that have many unknowns. The researchers created a new test called BeyondX to challenge these models. They found that even the best models, like GPT-4, can get stuck when faced with many unknowns and their performance drops by as much as 70%. To help them solve these harder problems, they developed a strategy called Formulate-and-Solve. This approach helps the models understand how to tackle complex math challenges. |
Keywords
* Artificial intelligence * Gpt * Prompting
