Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language Models

27 November 2023

Papers citing "Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language Models"

7 / 7 papers shown

Title
Synthetic Students: A Comparative Study of Bug Distribution Between Large Language Models and Computing Students Stephen MacNeil M. Rogalska Juho Leinonen Paul Denny Arto Hellas Xandria Crosland SyDa 29 2 0 11 Oct 2024
Desirable Characteristics for AI Teaching Assistants in Programming Education Paul Denny Stephen MacNeil Jaromír Šavelka Leo Porter Andrew Luxton-Reilly 29 27 0 23 May 2024
Improving LLM Classification of Logical Errors by Integrating Error Relationship into Prompts Yanggyu Lee Suchae Jeong Jihie Kim 24 3 0 30 Apr 2024
Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses Jaromír Šavelka Arav Agarwal Marshall An Chris Bogart M. Sakr ELM 48 106 0 15 Jun 2023
Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code Jaromír Šavelka Arav Agarwal Chris Bogart M. Sakr ELM 58 50 0 09 Mar 2023
Ask Me Anything: A simple strategy for prompting language models Simran Arora A. Narayan Mayee F. Chen Laurel J. Orr Neel Guha Kush S. Bhatia Ines Chami Frederic Sala Christopher Ré ReLM LRM 206 205 0 05 Oct 2022
Automatic Generation of Programming Exercises and Code Explanations using Large Language Models Sami Sarsa Paul Denny Arto Hellas Juho Leinonen ELM 89 341 0 03 Jun 2022