2024

EffiBench: Benchmarking the Efficiency of Automatically Generated Code

Huang, Dong, Qing, Yuhao, Shang, Weiyi et al.

Understand

Code generation models have increasingly become integral to aiding software development.

  • Although current research has thoroughly examined the correctness of the code produced by code generation models, a vital aspect that plays a pivotal role in green computing and sustainability efforts has often been neglected.
  • This paper presents EffiBench, a benchmark with 1,000 efficiency-critical coding problems to assess the efficiency of code generated by code generation models.
  • EffiBench contains a diverse set of LeetCode coding problems.

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