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Mutation-based Consistency Testing for Evaluating the Code Understanding
  Capability of LLMs

Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs

11 January 2024
Ziyu Li
Donghwan Shin
ArXivPDFHTML

Papers citing "Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs"

3 / 3 papers shown
Title
Mutation-Guided LLM-based Test Generation at Meta
Mutation-Guided LLM-based Test Generation at Meta
Christopher Foster
Abhishek Gulati
Mark Harman
Inna Harper
Ke Mao
Jillian Ritchey
Hervé Robert
Shubho Sengupta
38
2
0
22 Jan 2025
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding
  and Generation
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu
Daya Guo
Shuo Ren
Junjie Huang
Alexey Svyatkovskiy
...
Nan Duan
Neel Sundaresan
Shao Kun Deng
Shengyu Fu
Shujie Liu
ELM
196
853
0
09 Feb 2021
1