CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery

TL;DR

CS-Bench is a multilingual, comprehensive benchmark designed to evaluate large language models across diverse computer science subfields, revealing insights into their strengths, weaknesses, and potential for CS mastery.

Contribution

Introduces CS-Bench, the first extensive multilingual benchmark for evaluating LLMs in computer science, covering 26 subfields and enabling comprehensive performance analysis.

Findings

Large models perform better on CS tasks.

Knowledge supplementation improves LLM performance.

Math and coding skills correlate with CS capabilities.

Abstract

Large language models (LLMs) have demonstrated significant potential in advancing various fields of research and society. However, the current community of LLMs overly focuses on benchmarks for analyzing specific foundational skills (e.g. mathematics and code generation), neglecting an all-round evaluation of the computer science field. To bridge this gap, we introduce CS-Bench, the first multilingual (English, Chinese, French, German) benchmark dedicated to evaluating the performance of LLMs in computer science. CS-Bench comprises approximately 10K meticulously curated test samples, covering 26 subfields across 4 key areas of computer science, encompassing various task forms and divisions of knowledge and reasoning. Utilizing CS-Bench, we conduct a comprehensive evaluation of over 30 mainstream LLMs, revealing the relationship between CS performance and model scales. We also quantitatively analyze the reasons for failures in existing LLMs and highlight directions for improvements, including knowledge supplementation and CS-specific reasoning. Further cross-capability experiments show a high correlation between LLMs' capabilities in computer science and their abilities in mathematics and coding. Moreover, expert LLMs specialized in mathematics and coding also demonstrate strong performances in several CS subfields. Looking ahead, we envision CS-Bench serving as a cornerstone for LLM applications in the CS field and paving new avenues in assessing LLMs' diverse reasoning capabilities. The CS-Bench data and evaluation code are available at https://github.com/csbench/csbench.