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9 changes: 4 additions & 5 deletions blogs/ai_space_escape.md
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Expand Up @@ -72,7 +72,7 @@ Static evaluations, such as MMLU, Spider, and HumanEval, offer capability-specif

To address the challenges, Game Arena:

- An incentivized, dynamic benchmark using live computer games to evaluate the interactive and strategic aspect of many other reasoning tasks required in real-life.
- Introduces an incentivized, dynamic benchmark using live computer games to evaluate the interactive and strategic aspect of many other reasoning tasks required in real-life.

- Involves three reasoning games, each target at different reasoning capabilities.

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Stay tuned and we will release more details about how we generated the leaderboard! 🔔


---

## Results
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Our evaluation results show the following findings:

- Models with strong reasoning capabilities and multi-turn instruction-following capabilities, such as **claude-3.5-sonnet**, **gemini-2.0-flash-thinking-exp-01-21**, and **gemini-1.5-pro** are ranked high in GameArena.
- Models with both strong reasoning capability and multi-turn instruction-following capability, such as **claude-3.5-sonnet**, **gemini-2.0-flash-thinking-exp-01-21**, and **gemini-1.5-pro** are ranked high in GameArena.

- Models that excel at short conversations but with poor reasoning in extended game sessions, such as **Mistral-Large-2**, usually rank low in GameArena (not shown).

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| grok-2-beta | 994.91 | 977.67 | 973.24 | 981.94 |


![hidetable](placeholder.jpg "Table 2: Game Arena model ranking (sorted by average score across three games) as of Feburary 2025. For more fine-grained analysis with detailed metrics, please check our paper.")
![hidetable](placeholder.jpg "Table 2: Game Arena model ranking based on outcome-based metrics (sorted by average score across three games) as of Feburary the 10th, 2025. For more fine-grained analysis and other detailed evaluation metrics, please check our paper.")

### User Tests

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## Acknowledgement

We would like to thank Yonghao Zhuang, Xin (Kris) Gao, Yinmin Zhong, Yao Fu, Anastasios Angelopoulos, Roger Wang for providing insightful feedbacks.
We would like to thank Yonghao Zhuang, Xin (Kris) Gao, Yinmin Zhong, Yao Fu, Anastasios Angelopoulos, Roger Wang, Ligeng Zhu for providing insightful feedbacks.

---

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9 changes: 2 additions & 7 deletions manifest.json
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