Summary of Can Graph Descriptive Order Affect Solving Graph Problems with Llms?, by Yuyao Ge et al.
Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?
by Yuyao Ge, Shenghua Liu, Baolong Bi, Yiwei Wang, Lingrui Mei, Wenjie Feng, Lizhe Chen, Xueqi Cheng
First submitted to arxiv on: 11 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| 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 study investigates how the order of graph descriptions affects the performance of large language models (LLMs) on graph reasoning tasks. Researchers have explored LLMs’ abilities in various ways, but neglected the impact of prompt sequential order. The study comprehensively evaluates four graph description orders across six graph problems using six mainstream LLMs. Results show that ordered graph descriptions improve LLMs’ comprehension of graph structures, and robustness varies across different tasks. The findings provide a crucial advancement in applying LLMs for solving graph-related problems. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary A group of scientists looked at how they could help computers understand complex math problems by giving them information about the problem in a specific order. They tested this idea on six types of math problems using six different computer programs. The results showed that when they gave the computer information about the problem in a certain way, it did better at understanding the problem and solving it correctly. This new discovery can help make computers even smarter at doing math problems. |
Keywords
» Artificial intelligence » Prompt
