Mercury: A Code Efficiency Benchmark for Code Large Language Models

Mercury: A Code Efficiency Benchmark for Code Large Language Models

12 February 2024

See-Kiong Ng

Papers citing "Mercury: A Code Efficiency Benchmark for Code Large Language Models"

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Title
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models Siming Huang Tianhao Cheng J.K. Liu Jiaran Hao L. Song ... Ge Zhang Zili Wang Yuan Qi Yinghui Xu Wei Chu ALM 72 16 0 07 Nov 2024
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Jiawei Liu Chun Xia Yuyao Wang Lingming Zhang ELM ALM 178 780 0 02 May 2023
Multi-lingual Evaluation of Code Generation Models Ben Athiwaratkun Sanjay Krishna Gouda Zijian Wang Xiaopeng Li Yuchen Tian ... Baishakhi Ray Parminder Bhatia Sudipta Sengupta Dan Roth Bing Xiang ELM 109 117 0 26 Oct 2022
Measuring Coding Challenge Competence With APPS Dan Hendrycks Steven Basart Saurav Kadavath Mantas Mazeika Akul Arora ... Collin Burns Samir Puranik Horace He D. Song Jacob Steinhardt ELM AIMat ALM 194 614 0 20 May 2021
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 275 1,561 0 18 Sep 2019