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Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each
  using ChatGPT

Keep the Conversation Going: Fixing 162 out of 337 bugs for 0.42eachusingChatGPT0.42 each using ChatGPT0.42eachusingChatGPT

1 April 2023
Chun Xia
Lingming Zhang
    KELM
    LRM
ArXivPDFHTML

Papers citing "Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each using ChatGPT"

18 / 18 papers shown
Title
Are Sparse Autoencoders Useful for Java Function Bug Detection?
Are Sparse Autoencoders Useful for Java Function Bug Detection?
Rui Melo
Claudia Mamede
Andre Catarino
Rui Abreu
Henrique Lopes Cardoso
31
0
0
15 May 2025
Synthetic Code Surgery: Repairing Bugs and Vulnerabilities with LLMs and Synthetic Data
Synthetic Code Surgery: Repairing Bugs and Vulnerabilities with LLMs and Synthetic Data
David de-Fitero-Dominguez
Antonio Garcia-Cabot
Eva García-López
SyDa
71
0
0
12 May 2025
Automatically Generating Rules of Malicious Software Packages via Large Language Model
Automatically Generating Rules of Malicious Software Packages via Large Language Model
XiangRui Zhang
HaoYu Chen
YongZhong He
Wenjia Niu
Qiang Li
37
0
0
24 Apr 2025
ThrowBench: Benchmarking LLMs by Predicting Runtime Exceptions
Julian Aron Prenner
Romain Robbes
64
0
0
06 Mar 2025
CSR-Bench: Benchmarking LLM Agents in Deployment of Computer Science Research Repositories
CSR-Bench: Benchmarking LLM Agents in Deployment of Computer Science Research Repositories
Yijia Xiao
Runhui Wang
Luyang Kong
Davor Golac
Wei Wang
LLMAG
231
0
0
10 Feb 2025
Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment
Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment
Cheryl Li
Tianyuan Xu
Yiwen Guo
LRM
241
2
0
05 Feb 2025
Deep Learning-Based Identification of Inconsistent Method Names: How Far Are We?
Deep Learning-Based Identification of Inconsistent Method Names: How Far Are We?
Taiming Wang
Yuxia Zhang
Lin Jiang
Yi Tang
Guangjie Li
Hui Liu
91
1
0
22 Jan 2025
Are Large Language Models Memorizing Bug Benchmarks?
Are Large Language Models Memorizing Bug Benchmarks?
Daniel Ramos
Claudia Mamede
Kush Jain
Paulo Canelas
Catarina Gamboa
Claire Le Goues
PILM
ELM
97
6
0
20 Nov 2024
A Deep Dive Into Large Language Model Code Generation Mistakes: What and Why?
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
59
0
0
03 Nov 2024
SC-Bench: A Large-Scale Dataset for Smart Contract Auditing
SC-Bench: A Large-Scale Dataset for Smart Contract Auditing
Shihao Xia
Mengting He
Linhai Song
Yiying Zhang
47
1
0
08 Oct 2024
CRUXEval-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution
CRUXEval-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution
Ruiyang Xu
Jialun Cao
Yaojie Lu
Ming Wen
Hongyu Lin
Xianpei Han
Ben He
Shing-Chi Cheung
Le Sun
LRM
ELM
39
3
0
23 Aug 2024
DebugBench: Evaluating Debugging Capability of Large Language Models
DebugBench: Evaluating Debugging Capability of Large Language Models
Runchu Tian
Yining Ye
Yujia Qin
Xin Cong
Yankai Lin
...
Yesai Wu
Haotian Hui
Weichuan Liu
Zhiyuan Liu
Maosong Sun
ELM
42
29
0
09 Jan 2024
KernelGPT: Enhanced Kernel Fuzzing via Large Language Models
KernelGPT: Enhanced Kernel Fuzzing via Large Language Models
Chenyuan Yang
Zijie Zhao
Lingming Zhang
33
13
0
31 Dec 2023
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
384
12,081
0
04 Mar 2022
A Systematic Evaluation of Large Language Models of Code
A Systematic Evaluation of Large Language Models of Code
Frank F. Xu
Uri Alon
Graham Neubig
Vincent J. Hellendoorn
ELM
ALM
204
633
0
26 Feb 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for
  Code Understanding and Generation
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Chenyu You
Guosheng Lin
249
1,512
0
02 Sep 2021
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair
Nan Jiang
Thibaud Lutellier
Lin Tan
NAI
155
292
0
26 Feb 2021
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
301
1,616
0
18 Sep 2019
1