GoBench: Evaluating LLMs on the game of Go [R]

Reddit r/MachineLearning Papers

Summary

GoBench is a benchmark for evaluating large language models on 9x9 Go games, demonstrating strong correlation with ARC-AGI and featuring a leaderboard with KataGo opponents from random to superhuman levels.

GoBench evaluates LLMs on 9x9 Go games against a ladder of KataGo opponents, from random to superhuman. It measures general reasoning ability, strongly correlates with ARC-AGI 2 (r=0.83 correlation), and remains highly unsaturated. GPT-6 Astra max achieves 2500 Elo, much lower than the best KataGo, which achieves 4400 Elo. With coding tools and two hours of preparation before evaluation, Codex with Astra achieves 3560 Elo. I will keep the leaderboard updated as long as it is not saturated. leaderboard: https://rolandgao.com/blog/gobench/ code: https://github.com/RolandGao/gobench paper: https://github.com/RolandGao/gobench/blob/main/paper/gobench2.pdf x: https://x.com/Roland65821498/status/2100253388562723298?s=20
Original Article

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