Large Language Models and Simple, Stupid Bugs

Large Language Models and Simple, Stupid Bugs

20 March 2023

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Papers citing "Large Language Models and Simple, Stupid Bugs"

19 / 19 papers shown

Title
AIGCodeSet: A New Annotated Dataset for AI Generated Code Detection Basak Demirok Mucahid Kutlu DeLMO 181 3 0 21 Dec 2024
A Deep Dive Into Large Language Model Code Generation Mistakes: What and Why? QiHong Chen Jiawei Li Jiecheng Deng Jiachen Yu Justin Tian Jin Chen Iftekhar Ahmed 124 1 0 03 Nov 2024
Prompting Techniques for Secure Code Generation: A Systematic Investigation Catherine Tony Nicolás E. Díaz Ferreyra Markus Mutas Salem Dhiff Riccardo Scandariato SILM 133 12 0 09 Jul 2024
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models Toufique Ahmed Supriyo Ghosh Chetan Bansal Thomas Zimmermann Xuchao Zhang Saravan Rajmohan AI4CE 69 57 0 10 Jan 2023
Codex Hacks HackerRank: Memorization Issues and a Framework for Code Synthesis Evaluation Anjan Karmakar Julian Aron Prenner Marco DÁmbros Romain Robbes ELM 59 17 0 06 Dec 2022
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence Chaozheng Wang Yuanhang Yang Cuiyun Gao Yun Peng Hongyu Zhang Michael R. Lyu AAML 103 138 0 24 Jul 2022
InCoder: A Generative Model for Code Infilling and Synthesis Daniel Fried Armen Aghajanyan Jessy Lin Sida I. Wang Eric Wallace Freda Shi Ruiqi Zhong Wen-tau Yih Luke Zettlemoyer M. Lewis SyDa 76 652 0 12 Apr 2022
Evaluating the Text-to-SQL Capabilities of Large Language Models Nitarshan Rajkumar Raymond Li Dzmitry Bahdanau LMTD ELM 94 108 0 15 Mar 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 843 9,644 0 28 Jan 2022
A Neural Network Solves, Explains, and Generates University Math Problems by Program Synthesis and Few-Shot Learning at Human Level Iddo Drori Sarah J. Zhang Reece Shuttleworth Leonard Tang Albert Lu ... J. Lynch A. Shporer Nakul Verma Eugene Wu G. Strang AIMat ReLM 118 152 0 31 Dec 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq Joty Guosheng Lin 292 1,560 0 02 Sep 2021
Program Synthesis with Large Language Models Jacob Austin Augustus Odena Maxwell Nye Maarten Bosma Henryk Michalewski ... Ellen Jiang Carrie J. Cai Michael Terry Quoc V. Le Charles Sutton ELM AIMat ReCod ALM 212 2,004 0 16 Aug 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu Weizhe Yuan Jinlan Fu Zhengbao Jiang Hiroaki Hayashi Graham Neubig VLM SyDa 224 3,989 0 28 Jul 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 236 5,647 0 07 Jul 2021
Unified Pre-training for Program Understanding and Generation Wasi Uddin Ahmad Saikat Chakraborty Baishakhi Ray Kai-Wei Chang 135 769 0 10 Mar 2021
GraphCodeBERT: Pre-training Code Representations with Data Flow Daya Guo Shuo Ren Shuai Lu Zhangyin Feng Duyu Tang ... Dawn Drain Neel Sundaresan Jian Yin Daxin Jiang M. Zhou 148 1,144 0 17 Sep 2020
CodeBERT: A Pre-Trained Model for Programming and Natural Languages Zhangyin Feng Daya Guo Duyu Tang Nan Duan Xiaocheng Feng ... Linjun Shou Bing Qin Ting Liu Daxin Jiang Ming Zhou 165 2,667 0 19 Feb 2020
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair Zimin Chen Steve Kommrusch Michele Tufano L. Pouchet Denys Poshyvanyk Monperrus Martin KELM 71 441 0 24 Dec 2018
The Adverse Effects of Code Duplication in Machine Learning Models of Code Miltiadis Allamanis 63 320 0 16 Dec 2018