Resolving Crash Bugs via Large Language Models: An Empirical Study

Resolving Crash Bugs via Large Language Models: An Empirical Study

16 December 2023

Xin Peng

Papers citing "Resolving Crash Bugs via Large Language Models: An Empirical Study"

8 / 8 papers shown

Title
WizardCoder: Empowering Code Large Language Models with Evol-Instruct Ziyang Luo Can Xu Pu Zhao Qingfeng Sun Xiubo Geng Wenxiang Hu Chongyang Tao Jing Ma Qingwei Lin Daxin Jiang ELM SyDa ALM 79 678 0 14 Jun 2023
Mathematical Capabilities of ChatGPT Simon Frieder Luca Pinchetti Alexis Chevalier Ryan-Rhys Griffiths Tommaso Salvatori Thomas Lukasiewicz P. Petersen Julius Berner ELM AI4MH 121 421 0 31 Jan 2023
Mathematics, word problems, common sense, and artificial intelligence E. Davis AIMat 35 25 0 23 Jan 2023
Automatic Chain of Thought Prompting in Large Language Models Zhuosheng Zhang Aston Zhang Mu Li Alexander J. Smola ReLM LRM 146 619 0 07 Oct 2022
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 768 9,330 0 28 Jan 2022
Synchromesh: Reliable code generation from pre-trained language models Gabriel Poesia Oleksandr Polozov Vu Le A. Tiwari Gustavo Soares Christopher Meek Sumit Gulwani 59 160 0 26 Jan 2022
Generated Knowledge Prompting for Commonsense Reasoning Jiacheng Liu Alisa Liu Ximing Lu Sean Welleck Peter West Ronan Le Bras Yejin Choi Hannaneh Hajishirzi KELM RALM ReLM LLMAG LRM 113 322 0 15 Oct 2021
Evaluating Large Language Models Trained on Code Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 217 5,513 0 07 Jul 2021