AI for Low-Code for AI

31 May 2023

Papers citing "AI for Low-Code for AI"

7 / 7 papers shown

Title
Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs Chen Xie Mingsheng Jiao Xiaodong Gu Beijun Shen 22 0 0 21 Apr 2025
Mutual Understanding between People and Systems via Neurosymbolic AI and Knowledge Graphs I. Celino Mario Scrocca Agnese Chiatti 27 0 0 15 Apr 2025
Understanding the Human-LLM Dynamic: A Literature Survey of LLM Use in Programming Tasks Deborah Etsenake Meiyappan Nagappan 38 6 0 01 Oct 2024
Large Language Models for Software Engineering: A Systematic Literature Review Xinying Hou Yanjie Zhao Yue Liu Zhou Yang Kailong Wang Li Li Xiapu Luo David Lo John C. Grundy Haoyu Wang 39 323 0 21 Aug 2023
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 235 1,489 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 198 1,105 0 09 Feb 2021
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI Dakuo Wang Justin D. Weisz Michael J. Muller Parikshit Ram Werner Geyer Casey Dugan Y. Tausczik Horst Samulowitz Alexander G. Gray 178 308 0 05 Sep 2019