Productivity Assessment of Neural Code Completion

Productivity Assessment of Neural Code Completion

13 May 2022

Eirini Kalliamvakou

Ganesh Sittampalam

Papers citing "Productivity Assessment of Neural Code Completion"

18 / 18 papers shown

Title
Prompting LLMs for Code Editing: Struggles and Remedies Daye Nam Ahmed Omran Ambar Murillo Saksham Thakur Abner Araujo Marcel Blistein Alexander Frömmgen Vincent J. Hellendoorn Satish Chandra KELM 66 0 0 28 Apr 2025
Enhancing High-Quality Code Generation in Large Language Models with Comparative Prefix-Tuning Yuan Jiang Yujian Zhang Liang Lu Christoph Treude Xiaohong Su Shan Huang Tiantian Wang ALM 47 0 0 12 Mar 2025
NL2KQL: From Natural Language to Kusto Query Amir H. Abdi Xinye Tang Jeremias Eichelbaum Mahan Das Alex Klein ... William Blum Daniel L Mace Tanvi Raja Namrata Padmanabhan Ye Xing 60 2 0 20 Jan 2025
Prompts Are Programs Too! Understanding How Developers Build Software Containing Prompts Jenny T Liang Melissa Lin Nikitha Rao Brad A. Myers 61 5 0 19 Sep 2024
Learning Program Behavioral Models from Synthesized Input-Output Pairs Tural Mammadov Dietrich Klakow Alexander Koller Andreas Zeller 24 3 0 11 Jul 2024
ChatGPT Code Detection: Techniques for Uncovering the Source of Code Marc Oedingen Raphael C. Engelhardt Robin Denz Maximilian Hammer Wolfgang Konen DeLMO 27 8 0 24 May 2024
Rocks Coding, Not Development--A Human-Centric, Experimental Evaluation of LLM-Supported SE Tasks Wei Wang Huilong Ning Gaowei Zhang Libo Liu Yi Wang 12 11 0 08 Feb 2024
In-IDE Human-AI Experience in the Era of Large Language Models; A Literature Review Agnia Sergeyuk Sergey Titov M. Izadi 15 6 0 19 Jan 2024
Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment S. Spatharioti David M. Rothschild D. Goldstein Jake M. Hofman 10 44 0 07 Jul 2023
Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming Qianou Ma Tongshuang Wu Kenneth R. Koedinger 6 32 0 08 Jun 2023
AI-assisted Code Authoring at Scale: Fine-tuning, deploying, and mixed methods evaluation V. Murali C. Maddila Imad Ahmad Michael Bolin Daniel Cheng Negar Ghorbani Renuka Fernandez Nachiappan Nagappan Peter C. Rigby 6 13 0 20 May 2023
CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X Qinkai Zheng Xiao Xia Xu Zou Yuxiao Dong Shanshan Wang ... Andi Wang Yang Li Teng Su Zhilin Yang Jie Tang ELM ALM SyDa 22 314 0 30 Mar 2023
On the Design of AI-powered Code Assistants for Notebooks A. Mcnutt Chenglong Wang R. Deline Steven Drucker 11 79 0 26 Jan 2023
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming Hussein Mozannar Gagan Bansal Adam Fourney Eric Horvitz 30 108 0 25 Oct 2022
Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems Zhensu Sun Xiaoning Du Fu Song Shangwen Wang Mingze Ni Li Li 13 10 0 13 Sep 2022
MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation Federico Cassano John Gouwar Daniel Nguyen S. Nguyen Luna Phipps-Costin ... Carolyn Jane Anderson Molly Q. Feldman Arjun Guha Michael Greenberg Abhinav Jangda ELM 6 80 0 17 Aug 2022
GitHub Copilot AI pair programmer: Asset or Liability? Arghavan Moradi Dakhel Vahid Majdinasab Amin Nikanjam Foutse Khomh Michel C. Desmarais Zhen Ming Z. Jiang 13 329 0 30 Jun 2022
Measuring Coding Challenge Competence With APPS Dan Hendrycks Steven Basart Saurav Kadavath Mantas Mazeika Akul Arora ... Collin Burns Samir Puranik Horace He D. Song Jacob Steinhardt ELM AIMat ALM 189 614 0 20 May 2021