CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code

CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code

10 February 2023

Graham Neubig

Papers citing "CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code"

6 / 56 papers shown

Title
Learning Performance-Improving Code Edits Alex Shypula Aman Madaan Yiming Yang Uri Alon Jacob R. Gardner Milad Hashemi Graham Neubig Parthasarathy Ranganathan Osbert Bastani Amir Yazdanbakhsh SyDa 17 80 0 15 Feb 2023
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation Yuhang Lai Chengxi Li Yiming Wang Tianyi Zhang Ruiqi Zhong Luke Zettlemoyer Scott Yih Daniel Fried Si-yi Wang Tao Yu ELM ALM 27 300 0 18 Nov 2022
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
GLM-130B: An Open Bilingual Pre-trained Model Aohan Zeng Xiao Liu Zhengxiao Du Zihan Wang Hanyu Lai ... Jidong Zhai Wenguang Chen Peng-Zhen Zhang Yuxiao Dong Jie Tang BDL LRM 240 1,070 0 05 Oct 2022
A Systematic Evaluation of Large Language Models of Code Frank F. Xu Uri Alon Graham Neubig Vincent J. Hellendoorn ELM ALM 196 624 0 26 Feb 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 204 1,451 0 02 Sep 2021