Mercury: A Code Efficiency Benchmark for Code Large Language Models
–Neural Information Processing Systems
Amidst the recent strides in evaluating Large Language Models for Code (Code LLMs), existing benchmarks have mainly focused on the functional correctness of generated code, neglecting the importance of their computational efficiency.
Neural Information Processing Systems
Nov-14-2025, 08:55:59 GMT
- Country:
- Asia > Singapore (0.04)
- Europe > France
- Île-de-France > Paris > Paris (0.04)
- North America > United States (0.28)
- Genre:
- Research Report > New Finding (1.00)
- Industry:
- Information Technology > Security & Privacy (1.00)