Game Arena: Strategic LLM Evaluation in Competitive Environments
Kaggle’s Game Arena is meant to test LLMs by making them compete, not by freezing them against static benchmarks.
The report describes an open platform for head-to-head evaluation in structured games whose difficulty can rise as models improve. Its first environments are Chess, Poker, and Werewolf, covering perfect information, imperfect information, and multiplayer play. The authors frame the setup as a way to measure strategic planning, adaptation, and robustness under uncertainty with reproducible competition infrastructure. HF Daily Papers' note
The report describes an open platform for head-to-head evaluation in structured games whose difficulty can rise as models improve. Its first environments are Chess, Poker, and Werewolf, covering perfect information, imperfect information, and multiplayer play. The authors frame the setup as a way to measure strategic planning, adaptation, and robustness under uncertainty with reproducible competition infrastructure. HF Daily Papers' note
score 5