Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines

11 August 2022

Papers citing "Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines"

6 / 6 papers shown

Title
HPC-GPT: Integrating Large Language Model for High-Performance Computing Xianzhong Ding Le Chen M. Emani Chunhua Liao Pei-Hung Lin T. Vanderbruggen Zhen Xie Alberto Cerpa Wan Du LM&MA AI4MH 27 26 0 03 Oct 2023
Data Race Detection Using Large Language Models Le Chen Xianzhong Ding M. Emani T. Vanderbruggen Pei-Hung Lin Chunhua Liao 27 17 0 15 Aug 2023
LM4HPC: Towards Effective Language Model Application in High-Performance Computing Le Chen Pei-Hung Lin T. Vanderbruggen C. Liao M. Emani B. D. Supinski 33 25 0 26 Jun 2023
Scalable and Efficient MoE Training for Multitask Multilingual Models Young Jin Kim A. A. Awan Alexandre Muzio Andres Felipe Cruz Salinas Liyang Lu Amr Hendy Samyam Rajbhandari Yuxiong He Hany Awadalla MoE 104 84 0 22 Sep 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Chenyu You Guosheng Lin 246 1,492 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 201 1,109 0 09 Feb 2021