🔗 Who cites «Using Large Language Models to Enhance Programming Error Messages»

12 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «Using Large Language Models to Enhance Programming Error Messages»

1. CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator NeedsCHI Conference on Human Factors in Computing SystemsMajeed Kazemitabaar, Runlong Ye, Xiaoning Wang, et al.2024 · 272 citations
2. Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human TutorsProceedings of the 2023 ACM Conference on International Computing Education Research - Volume 2Tung Phung, Victor-Alexandru Pădurean, José Cambronero, et al.2023 · 117 citations
3. Can Language Models Employ the Socratic Method? Experiments with Code DebuggingACM Technical Symposium on Computer Science Education (SIGCSE)Erfan Al-Hossami, Razvan Bunescu, Justin Smith, et al.2023 · 38 citations
4. The Effects of Structured LLM-Generated Feedback on Programming Assignment PerformanceWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Tsvetomila Mihaylova, Evanfiya Logacheva, Arto Hellas, et al.2026

8 more papers of our library cite it; they have no page here yet.

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