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Training Language Models for Programming Feedback Using Automated Repair Tools
Published in International Conference on Artificial Intelligence in Education (AIED23), 2023
In this paper, I present a simple strategy to instantiate sequence-to-sequence model for repairing student programs. The strategy consists in finetuning existing open models, such as those available on HuggingFace, using as ground truth the repairs found by Automated Repair Tools. We use CodeT5 as the sequence-to-sequence model.
Recommended citation: C. Koutcheme. Training Language Models for Programming Feedback Using Automated Repair Tools, Artificial Intelligence in Education (AIED ’23), June 2023 https://link.springer.com/chapter/10.1007/978-3-031-36272-9_79
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portfolio
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publications
Automated Program Repair using Generative Models for Code Infilling
Published in Artificial Intelligence in Education, 2023
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Training Language Models for Programming Feedback Using Automated Repair Tools
Published in Artificial Intelligence in Education, 2023
Recommended citation: Koutcheme, C. (2023). Training Language Models for Programming Feedback Using Automated Repair Tools. In Artificial Intelligence in Education: 24th International Conference, AIED 2023, Tokyo, Japan, July 3–7, 2023 https://link.springer.com/chapter/10.1007/978-3-031-36272-9_79
Evaluating Distance Measures for Program Repair
Published in ACM Conference on International Computing Education Research, 2023, 2023
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Using Program Repair as a Proxy for Language Models’ Feedback Ability in Programming Education
Published in 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024), 2024
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Open Source Language Models Can Provide Feedback: Evaluating LLMs’ Ability to Help Students Using GPT-4-As-A-Judge
Published in International Conference on Innovation and Technology in Computer Science Education, 2024
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Evaluating Language Models for Generating and Judging Programming Feedback
Published in 56th ACM Technical Symposium on Computer Science Education, 2025
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Direct Repair Optimization: Training Small Language Models For Educational Program Repair Improves Feedback
Published in 20th Workshop on Innovative Use of NLP for Building Educational Applications, 2025
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Reinforcement Learning for Programming Feedback: Aligning Small Language Models Without Human Preferences
Published in 9th Educational Data Mining in Computer Science Education (CSEDM) Workshop, 2025
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talks
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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