Saved in:
| Main Author: | |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.03352 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866912941228425216 |
|---|---|
| author | Huang, Yichen |
| author_facet | Huang, Yichen |
| contents | The International Physics Olympiad (IPhO) is the world's most prestigious and renowned physics competition for pre-university students. IPhO problems require complex reasoning based on deep understanding of physical principles in a standard general physics curriculum. On IPhO 2025 theory problems, while gold medal performance by AI models was reported previously, it falls behind the best human contestant. Here we build a simple agent with Gemini 3.1 Pro Preview. We run it five times and it achieved a perfect score every time. However, data contamination could occur because Gemini 3.1 Pro Preview was released after the competition. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_03352 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Perfect score on IPhO 2025 theory by Gemini agent Huang, Yichen Physics Education Artificial Intelligence The International Physics Olympiad (IPhO) is the world's most prestigious and renowned physics competition for pre-university students. IPhO problems require complex reasoning based on deep understanding of physical principles in a standard general physics curriculum. On IPhO 2025 theory problems, while gold medal performance by AI models was reported previously, it falls behind the best human contestant. Here we build a simple agent with Gemini 3.1 Pro Preview. We run it five times and it achieved a perfect score every time. However, data contamination could occur because Gemini 3.1 Pro Preview was released after the competition. |
| title | Perfect score on IPhO 2025 theory by Gemini agent |
| topic | Physics Education Artificial Intelligence |
| url | https://arxiv.org/abs/2603.03352 |