Investigating the Potential of GPT-3 in Providing Feedback for Programming Assessments

Author:

Balse Rishabh1ORCID,Valaboju Bharath1ORCID,Singhal Shreya1ORCID,Warriem Jayakrishnan Madathil1ORCID,Prasad Prajish2ORCID

Affiliation:

1. Indian Institute of Technology Madras, Chennai, India

2. FLAME University, Pune, India

Publisher

ACM

Reference20 articles.

1. LEGenT: Localizing Errors and Generating Testcases for CS1

2. Programming Is Hard - Or at Least It Used to Be

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4. Klee: unassisted and automatic generation of high-coverage tests for complex systems programs;Cadar Cristian;OSDI,2008

5. Mark Chen , Jerry Tworek , Heewoo Jun , Qiming Yuan , Henrique Ponde de Oliveira Pinto , Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al. 2021 . Evaluating large language models trained on code. arXiv preprint arXiv:2107.03374 (2021). Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al. 2021. Evaluating large language models trained on code. arXiv preprint arXiv:2107.03374 (2021).

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