Summary of Cross-language Assessment Of Mathematical Capability Of Chatgpt, by Gargi Sathe et al.
Cross-Language Assessment of Mathematical Capability of ChatGPT
by Gargi Sathe, Aneesh Shamraj, Aditya Surve, Nahush Patil, Kumkum Saxena
First submitted to arxiv on: 18 May 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: 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 A novel evaluation is presented on the mathematical capabilities of ChatGPT across diverse languages, including Hindi, Gujarati, and Marathi. The study explores how well ChatGPT performs in solving mathematical problems in these regional Indian languages, and whether chain-of-thought prompting improves its accuracy as much as it does in English. This research provides insights into the current limitations of ChatGPT’s mathematical capabilities in non-English languages. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary ChatGPT is a language model that can understand and generate human-like text. But how well can it solve math problems in different languages? In this study, researchers tested ChatGPT on math problems in Hindi, Gujarati, and Marathi to see if it’s as good at math as it is in English. They also tried using a special kind of prompt called “chain-of-thought” to help ChatGPT get the answers right. The results show that while ChatGPT can do some math problems well, there are still limitations when working with non-English languages. |
Keywords
» Artificial intelligence » Language model » Prompt » Prompting
