EffiBench

Emerging

6papers using it

2024first seen

EffiBench is a benchmark dataset used to evaluate the efficiency of code generated by large language models, focusing on execution time and memory consumption.

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Papers using EffiBench (6)

EffiBench: Benchmarking the Efficiency of Automatically Generated Code2024 · 4 cites

EffiSkill: Agent Skill Based Automated Code Efficiency Optimization2026

Controlled Self-Evolution for Algorithmic Code Optimization2026

Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths2025

EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code2025

EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization2024 · 1 cites