Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation-Reference-Cited by-同舟云学术

Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation

Published:2024-03-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 14th Learning Analytics and Knowledge Conference
language:
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Author:

Phung Tung¹^ORCID,Pădurean Victor-Alexandru¹^ORCID,Singh Anjali²^ORCID,Brooks Christopher²^ORCID,Cambronero José³^ORCID,Gulwani Sumit³^ORCID,Singla Adish¹^ORCID,Soares Gustavo³^ORCID

Affiliation:

1. MPI-SWS, Germany

2. University of Michigan, USA

3. Microsoft, USA

Funder

European Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3636555.3636846

Reference34 articles.

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2. Yejin Bang 2023. A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity. CoRR abs/2302.04023 (2023).

3. Georg Brandl Matthäus Chajdas and Jean Abou-Samra. 2006. Pygments. https://pygments.org/.

4. Sébastien Bubeck 2023. Sparks of Artificial General Intelligence: Early Experiments with GPT-4. CoRR abs/2303.12712 (2023).

5. Xinyun Chen, Maxwell Lin, Nathanael Schärli, and Denny Zhou. 2023. Teaching Large Language Models to Self-Debug. CoRR abs/2304.05128 (2023).

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