Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers

12 January 2024

Papers citing "Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers"

7 / 7 papers shown

Title
Automatic Detection of LLM-generated Code: A Case Study of Claude 3 Haiku Musfiqur Rahman SayedHassan Khatoonabadi Ahmad Abdellatif Emad Shihab 24 3 0 02 Sep 2024
Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education Wei Hung Pan Ming Jie Chok Jonathan Leong Shan Wong Yung Xin Shin Yeong Shian Poon Zhou Yang Chun Yong Chong David Lo Mei Kuan Lim DeLMO 40 21 0 08 Jan 2024
CodeGen2: Lessons for Training LLMs on Programming and Natural Languages Erik Nijkamp A. Ghobadzadeh Caiming Xiong Silvio Savarese Yingbo Zhou 141 163 0 03 May 2023
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Jiawei Liu Chun Xia Yuyao Wang Lingming Zhang ELM ALM 178 780 0 02 May 2023
A Systematic Evaluation of Large Language Models of Code Frank F. Xu Uri Alon Graham Neubig Vincent J. Hellendoorn ELM ALM 196 624 0 26 Feb 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 204 1,451 0 02 Sep 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 245 1,977 0 31 Dec 2020