Code Representation Pre-training with Complements from Program
Executions

Code Representation Pre-training with Complements from Program Executions

4 September 2023

Hao Chen

Papers citing "Code Representation Pre-training with Complements from Program Executions"

7 / 7 papers shown

Title
Investigating Execution-Aware Language Models for Code Optimization Federico Di Menna Luca Traini Gabriele Bavota Vittorio Cortellessa 61 0 0 11 Mar 2025
UniTSyn: A Large-Scale Dataset Capable of Enhancing the Prowess of Large Language Models for Program Testing Yifeng He Jiabo Huang Yuyang Rong Yiwen Guo Ethan Wang Hao Chen 19 4 0 04 Feb 2024
The Program Testing Ability of Large Language Models for Code Weimin Xiong Yiwen Guo Hao Chen ALM ELM 21 6 0 09 Oct 2023
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 385 4,010 0 28 Jan 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
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Shuai Lu Daya Guo Shuo Ren Junjie Huang Alexey Svyatkovskiy ... Nan Duan Neel Sundaresan Shao Kun Deng Shengyu Fu Shujie Liu ELM 190 853 0 09 Feb 2021
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,724 0 26 Sep 2016