Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2206.15331
Cited By
GitHub Copilot AI pair programmer: Asset or Liability?
30 June 2022
Arghavan Moradi Dakhel
Vahid Majdinasab
Amin Nikanjam
Foutse Khomh
Michel C. Desmarais
Zhen Ming
Z. Jiang
Re-assign community
ArXiv
PDF
HTML
Papers citing
"GitHub Copilot AI pair programmer: Asset or Liability?"
33 / 33 papers shown
Title
Web-Bench: A LLM Code Benchmark Based on Web Standards and Frameworks
Kai Xu
YiWei Mao
XinYi Guan
ZiLong Feng
43
0
0
12 May 2025
Assessing Code Understanding in LLMs
Cosimo Laneve
Alvise Spanò
Dalila Ressi
S. Rossi
M. Bugliesi
50
0
0
31 Mar 2025
SandboxEval: Towards Securing Test Environment for Untrusted Code
Rafiqul Rabin
Jesse Hostetler
Sean McGregor
Brett Weir
Nick Judd
ELM
41
0
0
27 Mar 2025
FEA-Bench: A Benchmark for Evaluating Repository-Level Code Generation for Feature Implementation
Wei Li
Xin Zhang
Zhongxin Guo
Shaoguang Mao
Wen Luo
Guangyue Peng
Yangyu Huang
Houfeng Wang
Scarlett Li
57
0
0
09 Mar 2025
Bridging LLM-Generated Code and Requirements: Reverse Generation technique and SBC Metric for Developer Insights
Ahilan Ayyachamy Nadar Ponnusamy
66
0
0
11 Feb 2025
Turbulence: Systematically and Automatically Testing Instruction-Tuned Large Language Models for Code
Shahin Honarvar
Mark van der Wilk
Alastair Donaldson
80
6
0
28 Jan 2025
LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation
Ziyao Zhang
Yanlin Wang
Chong Wang
Jiachi Chen
Zibin Zheng
128
15
0
20 Jan 2025
Evaluating the Instruction-following Abilities of Language Models using Knowledge Tasks
Rudra Murthy
Prince Kumar
Praveen Venkateswaran
Danish Contractor
KELM
ALM
ELM
34
1
0
16 Oct 2024
BoilerTAI: A Platform for Enhancing Instruction Using Generative AI in Educational Forums
Anvit Sinha
Shruti Goyal
Zachary Sy
Rhianna Kuperus
Ethan Dickey
Andres Bejarano
42
0
0
20 Sep 2024
Don't be Fooled: The Misinformation Effect of Explanations in Human-AI Collaboration
Philipp Spitzer
Joshua Holstein
Katelyn Morrison
Kenneth Holstein
Gerhard Satzger
Niklas Kühl
42
3
0
19 Sep 2024
A Catalog of Fairness-Aware Practices in Machine Learning Engineering
Gianmario Voria
Giulia Sellitto
Carmine Ferrara
Francesco Abate
A. Lucia
F. Ferrucci
Gemma Catolino
Fabio Palomba
FaML
39
3
0
29 Aug 2024
Large Language Models as Co-Pilots for Causal Inference in Medical Studies
Ahmed Alaa
Rachael V. Phillips
Emre Kiciman
Laura B. Balzer
Mark van der Laan
Maya L Petersen
CML
ELM
LM&MA
48
0
0
26 Jul 2024
Effective Large Language Model Debugging with Best-first Tree Search
Jialin Song
Jonathan Raiman
Bryan Catanzaro
LRM
51
0
0
26 Jul 2024
On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards
Zhimin Zhao
A. A. Bangash
F. Côgo
Bram Adams
Ahmed E. Hassan
59
1
0
04 Jul 2024
What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering
Federico Errica
G. Siracusano
D. Sanvito
Roberto Bifulco
80
19
0
18 Jun 2024
GitHub Copilot: the perfect Code compLeeter?
Ilja Siros
Dave Singelée
Bart Preneel
ALM
ELM
26
4
0
17 Jun 2024
Business models for the simulation hypothesis
Evangelos Katsamakas
18
0
0
13 Apr 2024
A comparison of Human, GPT-3.5, and GPT-4 Performance in a University-Level Coding Course
Will Yeadon
Alex Peach
Craig P. Testrow
DeLMO
ELM
46
11
0
25 Mar 2024
Bugs in Large Language Models Generated Code: An Empirical Study
Florian Tambon
Arghavan Moradi Dakhel
Amin Nikanjam
Foutse Khomh
Michel C. Desmarais
G. Antoniol
ELM
42
33
0
13 Mar 2024
Learning Agent-based Modeling with LLM Companions: Experiences of Novices and Experts Using ChatGPT & NetLogo Chat
John Chen
Xi Lu
Michael Rejtig
Yuzhou Du
Ruth Bagley
Mike Horn
Uri Wilensky
31
29
0
30 Jan 2024
In-IDE Human-AI Experience in the Era of Large Language Models; A Literature Review
Agnia Sergeyuk
Sergey Titov
M. Izadi
39
6
0
19 Jan 2024
CoLadder: Supporting Programmers with Hierarchical Code Generation in Multi-Level Abstraction
Ryan Yen
Jiawen Zhu
Sangho Suh
Haijun Xia
Jian Zhao
43
14
0
12 Oct 2023
Extending the Frontier of ChatGPT: Code Generation and Debugging
Fardin Ahsan Sakib
Saadat Hasan Khan
A. Karim
ALM
LLMAG
ELM
26
41
0
17 Jul 2023
Detecting LLM-Generated Text in Computing Education: A Comparative Study for ChatGPT Cases
Michael Sheinman Orenstrakh
Oscar Karnalim
C. Suárez
Michael Liut
DeLMO
23
56
0
10 Jul 2023
Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming
Qianou Ma
Tongshuang Wu
Kenneth R. Koedinger
13
33
0
08 Jun 2023
How Effective Are Neural Networks for Fixing Security Vulnerabilities
Yi Wu
Nan Jiang
H. Pham
Thibaud Lutellier
Jordan Davis
Lin Tan
Petr Babkin
Sameena Shah
AAML
19
78
0
29 May 2023
A New Era in Software Security: Towards Self-Healing Software via Large Language Models and Formal Verification
Norbert Tihanyi
Ridhi Jain
Yiannis Charalambous
M. Ferrag
Youcheng Sun
Lucas C. Cordeiro
28
48
0
24 May 2023
Towards Tracing Code Provenance with Code Watermarking
Wei Li
Borui Yang
Yujie Sun
Suyu Chen
Ziyun Song
Liyao Xiang
Xinbing Wang
Cheng Zhou
WaLM
32
6
0
21 May 2023
Semantic Compression With Large Language Models
Henry Gilbert
Michael Sandborn
Douglas C. Schmidt
Jesse Spencer-Smith
Jules White
22
22
0
25 Apr 2023
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming
Hussein Mozannar
Gagan Bansal
Adam Fourney
Eric Horvitz
49
109
0
25 Oct 2022
Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants
Gustavo Sandoval
Hammond Pearce
Teo Nys
Ramesh Karri
S. Garg
Brendan Dolan-Gavitt
ELM
27
90
0
20 Aug 2022
Productivity Assessment of Neural Code Completion
Albert Ziegler
Eirini Kalliamvakou
Shawn Simister
Ganesh Sittampalam
Alice Li
Andrew Rice
Devon Rifkin
E. Aftandilian
102
177
0
13 May 2022
User-Driven Support for Visualization Prototyping in D3
Hannah K. Bako
Alisha Varma
Anuoluwapo Faboro
Mahreen Haider
Favour Nerrise
B. Kenah
John P. Dickerson
Leilani Battle
40
5
0
06 Dec 2021
1