LLM CHESS: Benchmarking Reasoning and Instruction-Following in LLMs through Chess

This article likely presents a research paper that uses chess as a benchmark to evaluate the reasoning and instruction-following capabilities of Large Language Models (LLMs). Chess provides a complex, rule-based environment suitable for assessing these abilities. The use of ArXiv suggests this is a pre-print or published research.

• •The research focuses on evaluating LLMs.
• •Chess is used as a testing ground.
• •The study assesses reasoning and instruction-following.