Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors

Author:

Peng Yun1ORCID,Gao Shuzheng1ORCID,Gao Cuiyun2ORCID,Huo Yintong1ORCID,Lyu Michael1ORCID

Affiliation:

1. The Chinese University of Hong Kong, Shatin, Hong Kong

2. Harbin Institute of Technology, Shenzhen, China

Funder

Research Grants Council of the Hong Kong Special Administrative Region

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Shenzhen Basic Research

Key Program of Fundamental Research from Shenzhen Science and Technology Innovation Commission

Publisher

ACM

Reference59 articles.

1. Typilus: neural type hints

2. Getafix: learning to fix bugs automatically

3. Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell Sandhini Agarwal Ariel Herbert-Voss Gretchen Krueger Tom Henighan Rewon Child Aditya Ramesh Daniel M. Ziegler Jeffrey Wu Clemens Winter Christopher Hesse Mark Chen Eric Sigler Mateusz Litwin Scott Gray Benjamin Chess Jack Clark Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever and Dario Amodei. 2020. Language Models are Few-Shot Learners. arXiv:2005.14165 [cs.CL]

4. Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Ponde de Oliveira Pinto Jared Kaplan Harrison Edwards Yuri Burda Nicholas Joseph Greg Brockman Alex Ray Raul Puri Gretchen Krueger Michael Petrov Heidy Khlaaf Girish Sastry Pamela Mishkin Brooke Chan Scott Gray Nick Ryder Mikhail Pavlov Alethea Power Lukasz Kaiser Mohammad Bavarian Clemens Winter Philippe Tillet Felipe Petroski Such Dave Cummings Matthias Plappert Fotios Chantzis Elizabeth Barnes Ariel Herbert-Voss William Hebgen Guss Alex Nichol Alex Paino Nikolas Tezak Jie Tang Igor Babuschkin Suchir Balaji Shantanu Jain William Saunders Christopher Hesse Andrew N. Carr Jan Leike Joshua Achiam Vedant Misra Evan Morikawa Alec Radford Matthew Knight Miles Brundage Mira Murati Katie Mayer Peter Welinder Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever and Wojciech Zaremba. 2021. Evaluating Large Language Models Trained on Code. CoRR abs/2107.03374 (2021). arXiv:2107.03374 https://arxiv.org/abs/2107.03374

5. SEQUENCER: Sequence-to-Sequence Learning for End-to-End Program Repair

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