Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses

23 October 2023

Papers citing "Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses"

5 / 5 papers shown

Title
Large Language Models in Computer Science Education: A Systematic Literature Review Nishat Raihan Mohammed Latif Siddiq Joanna C. S. Santos Marcos Zampieri ELM AI4CE 21 7 0 21 Oct 2024
Evaluating the Quality of Code Comments Generated by Large Language Models for Novice Programmers Aysa Xuemo Fan Arun Balajiee Lekshmi Narayanan Mohammad Hassany Jiaze Ke ALM ELM 25 0 0 22 Sep 2024
Using Large Language Models to Generate JUnit Tests: An Empirical Study Mohammed Latif Siddiq Joanna C. S. Santos Ridwanul Hasan Tanvir Noshin Ulfat Fahmid Al Rifat Vinicius Carvalho Lopes ELM 65 50 0 30 Apr 2023
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 204 853 0 09 Feb 2021