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2210.14306
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Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming
25 October 2022
Hussein Mozannar
Gagan Bansal
Adam Fourney
Eric Horvitz
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HuggingFace (2 upvotes)
Papers citing
"Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming"
26 / 76 papers shown
How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging
International Conference on Artificial Intelligence in Education (AIED), 2023
Qianou Ma
Hua Shen
Kenneth R. Koedinger
Tongshuang Wu
LLMAG
ELM
237
59
0
08 Oct 2023
Trust in Generative AI among students: An Exploratory Study
Technical Symposium on Computer Science Education (SIGCSE), 2023
Matin Amoozadeh
David Daniels
Daye Nam
Aayush Kumar
Stella Chen
Michael Hilton
Sruti Srinivasa Ragavan
Mohammad Amin Alipour
184
99
0
07 Oct 2023
Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation
International Conference on Learning Analytics and Knowledge (LAK), 2023
Tung Phung
Victor-Alexandru Pădurean
Anjali Singh
Christopher A. Brooks
J. Cambronero
Sumit Gulwani
Adish Singla
Gustavo Soares
267
68
0
05 Oct 2023
Can GPT-4 Replicate Empirical Software Engineering Research?
Jenny T Liang
Carmen Badea
Christian Bird
R. Deline
Denae Ford
Nicole Forsgren
Thomas Zimmermann
365
21
0
03 Oct 2023
Security Weaknesses of Copilot-Generated Code in GitHub Projects: An Empirical Study
ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
Yujia Fu
Peng Liang
Amjed Tahir
Zengyang Li
Mojtaba Shahin
Jiaxin Yu
Jinfu Chen
SILM
391
24
0
03 Oct 2023
How Novices Use LLM-Based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning Environment
European Conference on Modelling and Simulation (ECMS), 2023
Majeed Kazemitabaar
Xinying Hou
Austin Z. Henley
B. Ericson
David Weintrop
Tovi Grossman
AI4Ed
219
140
0
25 Sep 2023
Spellburst: A Node-based Interface for Exploratory Creative Coding with Natural Language Prompts
ACM Symposium on User Interface Software and Technology (UIST), 2023
Tyler Angert
Miroslav Suzara
Jenny Han
Christopher Pondoc
Hariharan Subramonyam
200
70
0
07 Aug 2023
Evaluating ChatGPT and GPT-4 for Visual Programming
International Computing Education Research Workshop (ICER), 2023
Adish Singla
191
26
0
30 Jul 2023
Using an LLM to Help With Code Understanding
International Conference on Software Engineering (ICSE), 2023
Daye Nam
A. Macvean
Vincent J. Hellendoorn
Bogdan Vasilescu
Brad A. Myers
ELM
348
456
0
17 Jul 2023
Copilot for Xcode: Exploring AI-Assisted Programming by Prompting Cloud-based Large Language Models
C. Tan
Shangxin Guo
M. Wong
Ching Nam Hang
166
14
0
08 Jul 2023
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review
Entropy (Entropy), 2023
M. Wong
Shangxin Guo
Ching Nam Hang
Siu-Wai Ho
C. Tan
239
122
0
04 Jul 2023
Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors
International Computing Education Research Workshop (ICER), 2023
Tung Phung
Victor-Alexandru Pădurean
J. Cambronero
Sumit Gulwani
Tobias Kohn
R. Majumdar
Adish Singla
Gustavo Soares
ALM
ELM
302
119
0
29 Jun 2023
RepoFusion: Training Code Models to Understand Your Repository
Disha Shrivastava
Denis Kocetkov
H. D. Vries
Dzmitry Bahdanau
Torsten Scholak
303
49
0
19 Jun 2023
Validating AI-Generated Code with Live Programming
International Conference on Human Factors in Computing Systems (CHI), 2023
Kasra Ferdowsi
Ruanqianqian Huang
M. James
Nadia Polikarpova
Sorin Lerner
194
25
0
15 Jun 2023
Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming
Qianou Ma
Tongshuang Wu
Kenneth R. Koedinger
253
47
0
08 Jun 2023
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming
AAAI Conference on Artificial Intelligence (AAAI), 2023
Hussein Mozannar
Gagan Bansal
Adam Fourney
Eric Horvitz
308
36
0
08 Jun 2023
StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Hannah McLean Babe
S. Nguyen
Yangtian Zi
Arjun Guha
Molly Q. Feldman
Carolyn Jane Anderson
ALM
LRM
224
44
0
07 Jun 2023
Seeing Seeds Beyond Weeds: Green Teaming Generative AI for Beneficial Uses
Logan Stapleton
Jordan Taylor
Sarah E Fox
Tongshuang Wu
Haiyi Zhu
138
15
0
30 May 2023
ALGO: Synthesizing Algorithmic Programs with LLM-Generated Oracle Verifiers
Neural Information Processing Systems (NeurIPS), 2023
Kexun Zhang
Danqing Wang
Jingtao Xia
William Yang Wang
Lei Li
315
56
0
24 May 2023
Investigating and Designing for Trust in AI-powered Code Generation Tools
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Ruotong Wang
Ruijia Cheng
Denae Ford
Thomas Zimmermann
235
83
0
18 May 2023
Learning Personalized Decision Support Policies
AAAI Conference on Artificial Intelligence (AAAI), 2023
Umang Bhatt
Valerie Chen
Katherine M. Collins
Parameswaran Kamalaruban
Emma Kallina
Adrian Weller
Ameet Talwalkar
OffRL
500
12
0
13 Apr 2023
Scientists' Perspectives on the Potential for Generative AI in their Fields
Meredith Ringel Morris
AI4CE
157
47
0
04 Apr 2023
A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges
International Conference on Software Engineering (ICSE), 2023
Jenny T Liang
Chenyang Yang
Brad A. Myers
244
158
0
30 Mar 2023
Capabilities of GPT-4 on Medical Challenge Problems
Harsha Nori
Nicholas King
S. McKinney
Dean Carignan
Eric Horvitz
LM&MA
ELM
AI4MH
463
1,040
0
20 Mar 2023
R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents
International Conference on Machine Learning (ICML), 2023
Daniel D. Johnson
Daniel Tarlow
Christian J. Walder
179
10
0
01 Mar 2023
Generation Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions
Helena Vasconcelos
Gagan Bansal
Adam Fourney
Q. V. Liao
Jennifer Wortman Vaughan
214
26
0
14 Feb 2023
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