BotzoneBench: Revolutionizing LLM Evaluation with AI Anchors

research #llm 🔬 Research|Analyzed: Feb 17, 2026 05:02•

Published: Feb 17, 2026 05:00

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1 min read

Analysis

BotzoneBench introduces a groundbreaking approach to evaluating 大规模言語モデル (LLMs) in strategic decision-making environments. By anchoring evaluations to fixed, skill-calibrated game 人工知能 (AI), the framework promises scalable and interpretable assessment, providing a significant advancement in LLM performance analysis.

Key Takeaways

•BotzoneBench evaluates LLMs across eight diverse games.
•The framework uses skill-calibrated game AIs as stable performance anchors.
•It enables linear-time absolute skill measurement of LLMs.

Reference / Citation

View Original

"Here we show that anchoring LLM evaluation to fixed hierarchies of skill-calibrated game Artificial Intelligence (AI) enables linear-time absolute skill measurement with stable cross-temporal interpretability."

ArXiv AIFeb 17, 2026 05:00

* Cited for critical analysis under Article 32.

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