Learning to Complete Code with Sketches

18 June 2021

Papers citing "Learning to Complete Code with Sketches"

23 / 23 papers shown

Title
ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding Indraneil Paul Haoyi Yang Goran Glavas Kristian Kersting Iryna Gurevych AAML SyDa 43 0 0 27 Mar 2025
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit Yao Wan Yang He Zhangqian Bi Jianguo Zhang Hongyu Zhang Yulei Sui Guandong Xu Hai Jin Philip S. Yu 35 20 0 30 Dec 2023
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language Mukul Singh J. Cambronero Sumit Gulwani Vu Le Carina Negreanu Elnaz Nouri Mohammad Raza Gust Verbruggen LMTD 10 9 0 26 Oct 2023
Optimizing Large Language Models to Expedite the Development of Smart Contracts Nii Osae Osae Dade Margaret Lartey-Quaye Emmanuel Teye-Kofi Odonkor Paul Ammah 27 4 0 08 Oct 2023
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation Benjamin Steenhoek Michele Tufano Neel Sundaresan Alexey Svyatkovskiy OffRL ALM 47 17 0 03 Oct 2023
Guess & Sketch: Language Model Guided Transpilation Celine Lee Abdulrahman Mahmoud Michal Kurek Simone Campanoni David Brooks Stephen Chong Gu-Yeon Wei Alexander M. Rush 39 5 0 25 Sep 2023
Epicure: Distilling Sequence Model Predictions into Patterns Miltiadis Allamanis Earl T. Barr 18 0 0 16 Aug 2023
Can You Improve My Code? Optimizing Programs with Local Search Fatemeh Abdollahi Saqib Ameen Matthew E. Taylor Levi H. S. Lelis 17 0 0 10 Jul 2023
Large Language Models of Code Fail at Completing Code with Potential Bugs Tuan Dinh Jinman Zhao Samson Tan Renato M. P. Negrinho Leonard Lausen Sheng Zha George Karypis LRM 22 25 0 06 Jun 2023
Coeditor: Leveraging Contextual Changes for Multi-round Code Auto-editing Jiayi Wei Greg Durrett Işıl Dillig KELM SyDa 30 11 0 29 May 2023
Think Outside the Code: Brainstorming Boosts Large Language Models in Code Generation Xinyu Li Jiang-Tian Xue Zheng Xie Ming Li LRM 19 26 0 18 May 2023
Architext: Language-Driven Generative Architecture Design Theodoros Galanos Antonios Liapis Georgios N. Yannakakis VLM AI4CE 26 6 0 13 Mar 2023
R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents Daniel D. Johnson Daniel Tarlow Christian J. Walder 21 6 0 01 Mar 2023
PAC Prediction Sets for Large Language Models of Code Adam Khakhar Stephen Mell Osbert Bastani 22 6 0 17 Feb 2023
FLAME: A small language model for spreadsheet formulas Harshit Joshi Abishai Ebenezer J. Cambronero Sumit Gulwani Aditya Kanade Vu Le Ivan Radivcek Gust Verbruggen LMTD 34 12 0 31 Jan 2023
Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5 Nghi D. Q. Bui Yue Wang Steven C. H. Hoi 27 15 0 27 Nov 2022
Evaluating How Fine-tuning on Bimodal Data Effects Code Generation Gabriel Orlanski Seonhye Yang Michael Healy ALM 21 5 0 15 Nov 2022
Repair Is Nearly Generation: Multilingual Program Repair with LLMs Harshit Joshi J. Cambronero Sumit Gulwani Vu Le Ivan Radicek Gust Verbruggen LRM 28 122 0 24 Aug 2022
Neurosymbolic Repair for Low-Code Formula Languages Rohan Bavishi Harshit Joshi José Pablo Cambronero Sánchez Anna Fariha Sumit Gulwani Vu Le Ivan Radicek A. Tiwari 16 13 0 24 Jul 2022
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning Hung Le Yue Wang Akhilesh Deepak Gotmare Silvio Savarese S. Hoi SyDa ALM 129 240 0 05 Jul 2022
AdaptivePaste: Code Adaptation through Learning Semantics-aware Variable Usage Representations Xiaoyu Liu Jinu Jang Neel Sundaresan Miltiadis Allamanis Alexey Svyatkovskiy 10 2 0 23 May 2022
ReACC: A Retrieval-Augmented Code Completion Framework Shuai Lu Nan Duan Hojae Han Daya Guo Seung-won Hwang Alexey Svyatkovskiy 25 139 0 15 Mar 2022
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation Tianyu Liu Yizhe Zhang Chris Brockett Yi Mao Zhifang Sui Weizhu Chen W. Dolan HILM 222 143 0 18 Apr 2021