Competitive games provide a dynamic benchmark for language model strategy

Kaggle Game Arena evaluates models through head-to-head chess, poker and Werewolf competitions with objectively scored outcomes.

Independent
Bovard Doerschuk-Tiberi · Yao Yan · Justin Chiu · Hann Wang · Timothy Chung · Martyna Plomecka · +56 more
Research Digest··2 min read
The authors built an extensible evaluation platform in which language models compete directly in structured games rather than answer a fixed test set.

The authors developed Kaggle Game Arena, infrastructure for scheduling model competitions, integrating game environments, recording outcomes and presenting results.

Why this paper

Independent

In one line

LLMs can be objectively evaluated through competitive games like Chess, Poker, and Werewolf to avoid benchmark saturation.

What we could check

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  • ·No stated limitations found
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