Evaluating LLM’s Code Reading Abilities in Big Data Contexts using Metamorphic Testing-Reference-Cited by-同舟云学术

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Evaluating LLM’s Code Reading Abilities in Big Data Contexts using Metamorphic Testing

Published:2023-12-15 Issue: Volume:33 Page:232-239
ISSN:
Container-title:2023 9th International Conference on Big Data and Information Analytics (BigDIA)
language:
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Author:

Li Ziyu¹,Li Zhendu²,Xiao Kaiming³,Li Xuan³

Affiliation:

1. University of Sheffield

2. National University of Defense Technology,College of Systems Engineering

3. National University of Defense Technology,Laboratory for Big Data and Decision

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10428932/10429051/10429345.pdf?arnumber=10429345

Reference34 articles.

1. Palm: Scaling language modeling with pathways;Chowdhery,2022

2. Llama: Open and efficient foundation language models;Touvron,2023

3. Evaluating large language models trained on code;Chen,2021

4. Program synthesis with large language models;Austin,2021

5. Metamorphic testing: a new approach for generating next test cases;Chen,2020

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